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Jobs in New York</h1><h4 class="text-dark-a">183 results total</h4></div><div class="text-right"><h4 class="styles_resultCount__Biln8">Page 1 of 6</h4></div></div></div><div class="styles_resultsList__Q46cW"><div class="flex flex-col w-full" style="text-align:left"><div class="my-4 w-full"><div class="mb-6 w-full rounded border border-gray-400 bg-white"><div class="w-full space-y-2 px-4 pb-2 pt-4"><div class="flex-col"><div class="flex w-full"><a class="content-center" href="/company/citizenapp"><div class="flex h-14 w-14 justify-center overflow-hidden rounded-2xl border border-gray-400 bg-gray-100"><img alt="Citizen company logo" loading="lazy" src="/cdn-cgi/image/width=112,height=112,fit=scale-down,gravity=0.5x0.5,quality=90,format=auto/https://photos.wellfound.com/startups/i/1117330-c128fb9fcf377232c8b174157213bfc6-medium_jpg.jpg?buster=1589636680" height="56" width="56" class="rounded-2xl object-contain"/></div></a><div class="pl-2 flex flex-col"><div class="flex space-x-2"><a class="text-neutral-1000 hover:underline focus:no-underline" href="/company/citizenapp"><h2 class="inline text-md font-semibold">Citizen</h2></a><div class="flex items-center text-sm font-medium text-pop-green"><div class="mr-1 h-2 w-2 rounded-2xl bg-pop-green"></div>Actively Hiring</div></div><span class="text-xs text-neutral-1000">Making your world a safer place</span><span class="text-xs italic text-neutral-500">51-200 Employees</span></div></div></div><div class="flex w-full space-x-2 text-[10px] text-accent-persian-600"><ul class="grid w-full grid-cols-2 justify-start gap-2 sm:place-items-center xs:flex xs:flex-row xs:flex-wrap"><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><div class="line-clamp-1">B2C</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg fill="none" height="12" viewBox="0 0 12 12" width="12" xmlns="http://www.w3.org/2000/svg" class="haloIcon"><path d="M6 6H4.5C3.70435 6 2.94129 5.68393 2.37868 5.12132C1.81607 4.55871 1.5 3.79565 1.5 3V2H3C3.79565 2 4.55871 2.31607 5.12132 2.87868C5.68393 3.44129 6 4.20435 6 5V10M6 7C6 6.20435 6.31607 5.44129 6.87868 4.87868C7.44129 4.31607 8.20435 4 9 4H10.5V4.5C10.5 5.29565 10.1839 6.05871 9.62132 6.62132C9.05871 7.18393 8.29565 7.5 7.5 7.5H6" stroke="black" stroke-linecap="round" stroke-linejoin="round"></path></svg><div class="line-clamp-1">Growth Stage</div><div class="styles_tooltip-text__bYBqF">Expanding market presence</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg fill="none" height="12" viewBox="0 0 12 12" width="12" xmlns="http://www.w3.org/2000/svg" class="haloIcon"><path d="M8.35 4C8.25048 3.71762 8.06872 3.47148 7.82814 3.29327C7.58755 3.11505 7.29913 3.01292 7 3H5C4.60218 3 4.22064 3.15804 3.93934 3.43934C3.65804 3.72064 3.5 4.10218 3.5 4.5C3.5 4.89782 3.65804 5.27936 3.93934 5.56066C4.22064 5.84196 4.60218 6 5 6H7C7.39782 6 7.77936 6.15804 8.06066 6.43934C8.34196 6.72064 8.5 7.10218 8.5 7.5C8.5 7.89782 8.34196 8.27936 8.06066 8.56066C7.77936 8.84196 7.39782 9 7 9H5C4.70087 8.98708 4.41245 8.88495 4.17186 8.70673C3.93128 8.52852 3.74952 8.28238 3.65 8M6 1.5V3M6 9V10.5" stroke="black" stroke-linecap="round" stroke-linejoin="round"></path></svg><div class="line-clamp-1">Top Investors</div><div class="styles_tooltip-text__bYBqF">This company has received a significant amount of investment from top investors</div></div></li></ul></div></div><div class="mb-4 w-full px-4"><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/3147371-machine-learning-engineer">Machine Learning Engineer</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 20 20" width="14" xmlns="http://www.w3.org/2000/svg" class="sm:h-5 sm:w-5"><path d="M12.3333 7.49998C12.1824 7.23811 11.963 7.02223 11.6988 6.87544C11.4346 6.72865 11.1354 6.65647 10.8333 6.66664H9.16667C8.72464 6.66664 8.30072 6.84224 7.98816 7.1548C7.67559 7.46736 7.5 7.89128 7.5 8.33331C7.5 8.77534 7.67559 9.19926 7.98816 9.51182C8.30072 9.82438 8.72464 9.99998 9.16667 9.99998H10.8333C11.2754 9.99998 11.6993 10.1756 12.0118 10.4881C12.3244 10.8007 12.5 11.2246 12.5 11.6666C12.5 12.1087 12.3244 12.5326 12.0118 12.8452C11.6993 13.1577 11.2754 13.3333 10.8333 13.3333H9.16667C8.86458 13.3435 8.56541 13.2713 8.30118 13.1245C8.03696 12.9777 7.81763 12.7618 7.66667 12.5M10 5.83333V14.1667M2.5 10C2.5 10.9849 2.69399 11.9602 3.0709 12.8701C3.44781 13.7801 4.00026 14.6069 4.6967 15.3033C5.39314 15.9997 6.21993 16.5522 7.12987 16.9291C8.03982 17.306 9.01509 17.5 10 17.5C10.9849 17.5 11.9602 17.306 12.8701 16.9291C13.7801 16.5522 14.6069 15.9997 15.3033 15.3033C15.9997 14.6069 16.5522 13.7801 16.9291 12.8701C17.306 11.9602 17.5 10.9849 17.5 10C17.5 9.01509 17.306 8.03982 16.9291 7.12987C16.5522 6.21993 15.9997 5.39314 15.3033 4.6967C14.6069 4.00026 13.7801 3.44781 12.8701 3.0709C11.9602 2.69399 10.9849 2.5 10 2.5C9.01509 2.5 8.03982 2.69399 7.12987 3.0709C6.21993 3.44781 5.39314 4.00026 4.6967 4.6967C4.00026 5.39314 3.44781 6.21993 3.0709 7.12987C2.69399 8.03982 2.5 9.01509 2.5 10Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">$178k – $205k</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">Remote • New York City</span></div></div><span class="text-xs lowercase text-dark-a md:hidden">2 weeks ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">2 weeks ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 hover:border-gtmblue-500" data-test="JobApplicationApplyButton" type="button">Apply</button></div></div></div></div></div><div class="mb-6 w-full rounded border border-gray-400 bg-white"><div class="w-full space-y-2 px-4 pb-2 pt-4"><div class="flex-col"><div class="flex w-full"><a class="content-center" href="/company/bask-health"><div class="flex h-14 w-14 justify-center overflow-hidden rounded-2xl border border-gray-400 bg-gray-100"><img alt="Bask Health company logo" loading="lazy" src="/cdn-cgi/image/width=112,height=112,fit=scale-down,gravity=0.5x0.5,quality=90,format=auto/https://photos.wellfound.com/startups/i/9106060-221ff2192ba27f25e8d9a8e4bc740ad0-medium_jpg.jpg?buster=1663788205" height="56" width="56" class="rounded-2xl object-contain"/></div></a><div class="pl-2 flex flex-col"><div class="flex space-x-2"><a class="text-neutral-1000 hover:underline focus:no-underline" href="/company/bask-health"><h2 class="inline text-md font-semibold">Bask Health</h2></a><div class="flex items-center text-sm font-medium text-pop-green"><div class="mr-1 h-2 w-2 rounded-2xl bg-pop-green"></div>Actively Hiring</div></div><span class="text-xs text-neutral-1000">Shopify for E-Prescribing</span><span class="text-xs italic text-neutral-500">11-50 Employees</span></div></div></div><div class="flex w-full space-x-2 text-[10px] text-accent-persian-600"><ul class="grid w-full grid-cols-2 justify-start gap-2 sm:place-items-center xs:flex xs:flex-row xs:flex-wrap"><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><div class="line-clamp-1">B2C</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg fill="none" height="12" viewBox="0 0 12 12" width="12" xmlns="http://www.w3.org/2000/svg" class="haloIcon"><path d="M2.5 10.5C2.75 8.25 3.75 6.5 6 5.5M4.50016 9C7.60916 9 9.75016 7.356 10.0002 3V2H7.99316C3.49316 2 2.00016 4 1.99316 6.5C1.99316 7 1.99316 8 2.99316 9H4.50016Z" stroke="black" stroke-linecap="round" stroke-linejoin="round"></path></svg><div class="line-clamp-1">Early Stage</div><div class="styles_tooltip-text__bYBqF">Startup in initial stages</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg viewBox="0 0 24 24" fill="currentColor" xmlns="http://www.w3.org/2000/svg" class="haloIcon" height="12" width="12"><path d="M3.613 17.79l.094-.083L10 11.415l3.293 3.292a1 1 0 001.32.083l.094-.083L19 10.415l1.293 1.292c.602.603 1.614.22 1.701-.593L22 11l-.002-4.06-.009-.087-.025-.119-.024-.076-.034-.081-.052-.098-.067-.096-.08-.09a1.014 1.014 0 00-.112-.097l-.11-.071-.114-.054-.105-.035-.117-.025-.06-.007L21 6h-4c-.852 0-1.297.986-.783 1.623l.076.084L17.585 9 14 12.585l-3.293-3.292a1 1 0 00-1.32-.083l-.094.083-7 7a1 1 0 001.32 1.497z" fill="currentColor"></path></svg><div class="line-clamp-1">Growing fast</div><div class="styles_tooltip-text__bYBqF">Showed strong hiring growth in the past month</div></div></li></ul></div></div><div class="mb-4 w-full px-4"><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/3071544-machine-learning-engineer">Machine Learning Engineer</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 20 20" width="14" xmlns="http://www.w3.org/2000/svg" class="sm:h-5 sm:w-5"><path d="M12.3333 7.49998C12.1824 7.23811 11.963 7.02223 11.6988 6.87544C11.4346 6.72865 11.1354 6.65647 10.8333 6.66664H9.16667C8.72464 6.66664 8.30072 6.84224 7.98816 7.1548C7.67559 7.46736 7.5 7.89128 7.5 8.33331C7.5 8.77534 7.67559 9.19926 7.98816 9.51182C8.30072 9.82438 8.72464 9.99998 9.16667 9.99998H10.8333C11.2754 9.99998 11.6993 10.1756 12.0118 10.4881C12.3244 10.8007 12.5 11.2246 12.5 11.6666C12.5 12.1087 12.3244 12.5326 12.0118 12.8452C11.6993 13.1577 11.2754 13.3333 10.8333 13.3333H9.16667C8.86458 13.3435 8.56541 13.2713 8.30118 13.1245C8.03696 12.9777 7.81763 12.7618 7.66667 12.5M10 5.83333V14.1667M2.5 10C2.5 10.9849 2.69399 11.9602 3.0709 12.8701C3.44781 13.7801 4.00026 14.6069 4.6967 15.3033C5.39314 15.9997 6.21993 16.5522 7.12987 16.9291C8.03982 17.306 9.01509 17.5 10 17.5C10.9849 17.5 11.9602 17.306 12.8701 16.9291C13.7801 16.5522 14.6069 15.9997 15.3033 15.3033C15.9997 14.6069 16.5522 13.7801 16.9291 12.8701C17.306 11.9602 17.5 10.9849 17.5 10C17.5 9.01509 17.306 8.03982 16.9291 7.12987C16.5522 6.21993 15.9997 5.39314 15.3033 4.6967C14.6069 4.00026 13.7801 3.44781 12.8701 3.0709C11.9602 2.69399 10.9849 2.5 10 2.5C9.01509 2.5 8.03982 2.69399 7.12987 3.0709C6.21993 3.44781 5.39314 4.00026 4.6967 4.6967C4.00026 5.39314 3.44781 6.21993 3.0709 7.12987C2.69399 8.03982 2.5 9.01509 2.5 10Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">$25k – $60k</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">Remote • Brazil<span class="ml-1 inline-flex h-4 items-center rounded border border-neutral-200 bg-neutral-50 px-1 text-xs text-neutral-500">+5</span></span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 17 17" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M5.33335 4.83333V3.16667C5.33335 2.72464 5.50895 2.30072 5.82151 1.98816C6.13407 1.67559 6.55799 1.5 7.00002 1.5H10.3334C10.7754 1.5 11.1993 1.67559 11.5119 1.98816C11.8244 2.30072 12 2.72464 12 3.16667V4.83333M8.66669 9V9.00833M1.16669 9.83333C3.493 11.0056 6.06171 11.6162 8.66669 11.6162C11.2717 11.6162 13.8404 11.0056 16.1667 9.83333M1.16669 6.5C1.16669 6.05797 1.34228 5.63405 1.65484 5.32149C1.9674 5.00893 2.39133 4.83333 2.83335 4.83333H14.5C14.942 4.83333 15.366 5.00893 15.6785 5.32149C15.9911 5.63405 16.1667 6.05797 16.1667 6.5V14C16.1667 14.442 15.9911 14.866 15.6785 15.1785C15.366 15.4911 14.942 15.6667 14.5 15.6667H2.83335C2.39133 15.6667 1.9674 15.4911 1.65484 15.1785C1.34228 14.866 1.16669 14.442 1.16669 14V6.5Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">1 year of exp</span></div></div><span class="text-xs lowercase text-dark-a md:hidden">3 months ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">3 months ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 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font-semibold">Wynd Labs</h2></a><div class="flex items-center text-sm font-medium text-pop-green"><div class="mr-1 h-2 w-2 rounded-2xl bg-pop-green"></div>Actively Hiring</div></div><span class="text-xs text-neutral-1000">Making AI Data Accessible. Building a suite of products powered by Grass</span><span class="text-xs italic text-neutral-500">11-50 Employees</span></div></div></div></div><div class="mb-4 w-full px-4"><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/2832105-machine-learning-engineer">Machine Learning Engineer</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 20 20" width="14" xmlns="http://www.w3.org/2000/svg" class="sm:h-5 sm:w-5"><path d="M12.3333 7.49998C12.1824 7.23811 11.963 7.02223 11.6988 6.87544C11.4346 6.72865 11.1354 6.65647 10.8333 6.66664H9.16667C8.72464 6.66664 8.30072 6.84224 7.98816 7.1548C7.67559 7.46736 7.5 7.89128 7.5 8.33331C7.5 8.77534 7.67559 9.19926 7.98816 9.51182C8.30072 9.82438 8.72464 9.99998 9.16667 9.99998H10.8333C11.2754 9.99998 11.6993 10.1756 12.0118 10.4881C12.3244 10.8007 12.5 11.2246 12.5 11.6666C12.5 12.1087 12.3244 12.5326 12.0118 12.8452C11.6993 13.1577 11.2754 13.3333 10.8333 13.3333H9.16667C8.86458 13.3435 8.56541 13.2713 8.30118 13.1245C8.03696 12.9777 7.81763 12.7618 7.66667 12.5M10 5.83333V14.1667M2.5 10C2.5 10.9849 2.69399 11.9602 3.0709 12.8701C3.44781 13.7801 4.00026 14.6069 4.6967 15.3033C5.39314 15.9997 6.21993 16.5522 7.12987 16.9291C8.03982 17.306 9.01509 17.5 10 17.5C10.9849 17.5 11.9602 17.306 12.8701 16.9291C13.7801 16.5522 14.6069 15.9997 15.3033 15.3033C15.9997 14.6069 16.5522 13.7801 16.9291 12.8701C17.306 11.9602 17.5 10.9849 17.5 10C17.5 9.01509 17.306 8.03982 16.9291 7.12987C16.5522 6.21993 15.9997 5.39314 15.3033 4.6967C14.6069 4.00026 13.7801 3.44781 12.8701 3.0709C11.9602 2.69399 10.9849 2.5 10 2.5C9.01509 2.5 8.03982 2.69399 7.12987 3.0709C6.21993 3.44781 5.39314 4.00026 4.6967 4.6967C4.00026 5.39314 3.44781 6.21993 3.0709 7.12987C2.69399 8.03982 2.5 9.01509 2.5 10Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">$150k – $220k • No equity</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">Remote • New York City</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 17 17" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M5.33335 4.83333V3.16667C5.33335 2.72464 5.50895 2.30072 5.82151 1.98816C6.13407 1.67559 6.55799 1.5 7.00002 1.5H10.3334C10.7754 1.5 11.1993 1.67559 11.5119 1.98816C11.8244 2.30072 12 2.72464 12 3.16667V4.83333M8.66669 9V9.00833M1.16669 9.83333C3.493 11.0056 6.06171 11.6162 8.66669 11.6162C11.2717 11.6162 13.8404 11.0056 16.1667 9.83333M1.16669 6.5C1.16669 6.05797 1.34228 5.63405 1.65484 5.32149C1.9674 5.00893 2.39133 4.83333 2.83335 4.83333H14.5C14.942 4.83333 15.366 5.00893 15.6785 5.32149C15.9911 5.63405 16.1667 6.05797 16.1667 6.5V14C16.1667 14.442 15.9911 14.866 15.6785 15.1785C15.366 15.4911 14.942 15.6667 14.5 15.6667H2.83335C2.39133 15.6667 1.9674 15.4911 1.65484 15.1785C1.34228 14.866 1.16669 14.442 1.16669 14V6.5Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">3 years of exp</span></div></div><span class="text-xs lowercase text-dark-a md:hidden">1 month ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">1 month ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 hover:border-gtmblue-500" data-test="JobApplicationApplyButton" type="button">Apply</button></div></div></div></div></div><div class="mb-6 w-full rounded border border-gray-400 bg-white"><div class="w-full space-y-2 px-4 pb-2 pt-4"><div class="flex-col"><div class="flex w-full"><a class="content-center" href="/company/chalk-ai"><div class="flex h-14 w-14 justify-center overflow-hidden rounded-2xl border border-gray-400 bg-gray-100"><img alt="Chalk company logo" loading="lazy" src="/cdn-cgi/image/width=112,height=112,fit=scale-down,gravity=0.5x0.5,quality=90,format=auto/https://photos.wellfound.com/startups/i/8887646-f35c5c1d88595ca051fddbec6e486edd-medium_jpg.jpg?buster=1652299292" height="56" width="56" class="rounded-2xl object-contain"/></div></a><div class="pl-2 flex flex-col"><div class="flex space-x-2"><a class="text-neutral-1000 hover:underline focus:no-underline" href="/company/chalk-ai"><h2 class="inline text-md font-semibold">Chalk</h2></a></div><span class="text-xs text-neutral-1000">Building machine learning infrastructure to answer the world’s hardest questions</span><span class="text-xs italic text-neutral-500">11-50 Employees</span></div></div></div><div class="flex w-full space-x-2 text-[10px] text-accent-persian-600"><ul class="grid w-full grid-cols-2 justify-start gap-2 sm:place-items-center xs:flex xs:flex-row xs:flex-wrap"><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><div class="line-clamp-1">B2B</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg fill="none" height="12" viewBox="0 0 12 12" width="12" xmlns="http://www.w3.org/2000/svg" class="haloIcon"><path d="M2.5 10.5C2.75 8.25 3.75 6.5 6 5.5M4.50016 9C7.60916 9 9.75016 7.356 10.0002 3V2H7.99316C3.49316 2 2.00016 4 1.99316 6.5C1.99316 7 1.99316 8 2.99316 9H4.50016Z" stroke="black" stroke-linecap="round" stroke-linejoin="round"></path></svg><div class="line-clamp-1">Early Stage</div><div class="styles_tooltip-text__bYBqF">Startup in initial stages</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg fill="none" height="12" viewBox="0 0 12 12" width="12" xmlns="http://www.w3.org/2000/svg" class="haloIcon"><path d="M8.35 4C8.25048 3.71762 8.06872 3.47148 7.82814 3.29327C7.58755 3.11505 7.29913 3.01292 7 3H5C4.60218 3 4.22064 3.15804 3.93934 3.43934C3.65804 3.72064 3.5 4.10218 3.5 4.5C3.5 4.89782 3.65804 5.27936 3.93934 5.56066C4.22064 5.84196 4.60218 6 5 6H7C7.39782 6 7.77936 6.15804 8.06066 6.43934C8.34196 6.72064 8.5 7.10218 8.5 7.5C8.5 7.89782 8.34196 8.27936 8.06066 8.56066C7.77936 8.84196 7.39782 9 7 9H5C4.70087 8.98708 4.41245 8.88495 4.17186 8.70673C3.93128 8.52852 3.74952 8.28238 3.65 8M6 1.5V3M6 9V10.5" stroke="black" stroke-linecap="round" stroke-linejoin="round"></path></svg><div class="line-clamp-1">Top Investors</div><div class="styles_tooltip-text__bYBqF">This company has received a significant amount of investment from top investors</div></div></li></ul></div></div><div class="mb-4 w-full px-4"><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/2199175-software-engineer">Software Engineer</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">New York City • San Francisco</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 17 17" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M5.33335 4.83333V3.16667C5.33335 2.72464 5.50895 2.30072 5.82151 1.98816C6.13407 1.67559 6.55799 1.5 7.00002 1.5H10.3334C10.7754 1.5 11.1993 1.67559 11.5119 1.98816C11.8244 2.30072 12 2.72464 12 3.16667V4.83333M8.66669 9V9.00833M1.16669 9.83333C3.493 11.0056 6.06171 11.6162 8.66669 11.6162C11.2717 11.6162 13.8404 11.0056 16.1667 9.83333M1.16669 6.5C1.16669 6.05797 1.34228 5.63405 1.65484 5.32149C1.9674 5.00893 2.39133 4.83333 2.83335 4.83333H14.5C14.942 4.83333 15.366 5.00893 15.6785 5.32149C15.9911 5.63405 16.1667 6.05797 16.1667 6.5V14C16.1667 14.442 15.9911 14.866 15.6785 15.1785C15.366 15.4911 14.942 15.6667 14.5 15.6667H2.83335C2.39133 15.6667 1.9674 15.4911 1.65484 15.1785C1.34228 14.866 1.16669 14.442 1.16669 14V6.5Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">2 years of exp</span></div></div><span class="text-xs lowercase text-dark-a md:hidden">5 months ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">5 months ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white 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font-semibold text-brand-burgandy hover:underline" href="/jobs/2812640-machine-learning-engineer">Machine Learning Engineer</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">New York City • San Francisco</span></div></div><span class="text-xs lowercase text-dark-a md:hidden">5 months ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">5 months ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 hover:border-gtmblue-500" data-test="JobApplicationApplyButton" type="button">Apply</button></div></div></div></div></div><div class="mb-6 w-full rounded border border-gray-400 bg-white"><div class="w-full space-y-2 px-4 pb-2 pt-4"><div class="flex-col"><div class="flex w-full"><a class="content-center" href="/company/kalepa"><div class="flex h-14 w-14 justify-center overflow-hidden rounded-2xl border border-gray-400 bg-gray-100"><img alt="Kalepa company logo" loading="lazy" src="/cdn-cgi/image/width=112,height=112,fit=scale-down,gravity=0.5x0.5,quality=90,format=auto/https://photos.wellfound.com/startups/i/5030035-be50128ef8089c5ece23827f13b3b335-medium_jpg.jpg?buster=1512754154" height="56" width="56" class="rounded-2xl object-contain"/></div></a><div class="pl-2 flex flex-col"><div class="flex space-x-2"><a class="text-neutral-1000 hover:underline focus:no-underline" href="/company/kalepa"><h2 class="inline text-md font-semibold">Kalepa</h2></a><div class="flex items-center text-sm font-medium text-pop-green"><div class="mr-1 h-2 w-2 rounded-2xl bg-pop-green"></div>Actively Hiring</div></div><span class="text-xs text-neutral-1000">Commercial Insurance</span><span class="text-xs italic text-neutral-500">11-50 Employees</span></div></div></div><div class="flex w-full space-x-2 text-[10px] text-accent-persian-600"><ul class="grid w-full grid-cols-2 justify-start gap-2 sm:place-items-center xs:flex xs:flex-row xs:flex-wrap"><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg fill="none" height="12" viewBox="0 0 12 12" width="12" xmlns="http://www.w3.org/2000/svg" class="haloIcon"><path d="M4.5 10.5H7.5M4.5 9H7.5M4.49992 5.99999H2.70692C2.60805 5.99996 2.5114 5.97063 2.4292 5.91569C2.34699 5.86074 2.28292 5.78266 2.24509 5.69131C2.20725 5.59996 2.19735 5.49945 2.21663 5.40247C2.23592 5.30549 2.28352 5.21641 2.35342 5.14649L5.64642 1.85349C5.74019 1.75975 5.86734 1.70709 5.99992 1.70709C6.13251 1.70709 6.25966 1.75975 6.35342 1.85349L9.64642 5.14649C9.71633 5.21641 9.76393 5.30549 9.78322 5.40247C9.8025 5.49945 9.7926 5.59996 9.75476 5.69131C9.71693 5.78266 9.65286 5.86074 9.57065 5.91569C9.48845 5.97063 9.3918 5.99996 9.29292 5.99999H7.49992V7.49999H4.49992V5.99999Z" stroke="black" stroke-linecap="round" stroke-linejoin="round"></path></svg><div class="line-clamp-1">Top 5% of responders</div><div class="styles_tooltip-text__bYBqF">Kalepa is in the top 5% of companies in terms of response time to applications</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg class="haloIcon" fill="none" height="12" viewBox="0 0 51 46" width="12" xmlns="http://www.w3.org/2000/svg"><path d="M5.16732 23.0826C5.16732 24.1872 6.06275 25.0826 7.16732 25.0826C8.27189 25.0826 9.16732 24.1872 9.16732 23.0826H5.16732ZM27.7923 41.7076C26.6877 41.7076 25.7923 42.6031 25.7923 43.7076C25.7923 44.8122 26.6877 45.7076 27.7923 45.7076V41.7076ZM48.4173 23.0826H46.4173H48.4173ZM27.7923 2.45764V0.457642V2.45764ZM27.7923 23.0826H25.7923C25.7923 23.7513 26.1265 24.3758 26.6829 24.7467L27.7923 23.0826ZM33.5579 29.3301C34.477 29.9428 35.7187 29.6944 36.3314 28.7754C36.9441 27.8563 36.6958 26.6146 35.7767 26.0019L33.5579 29.3301ZM29.7923 11.6243C29.7923 10.5197 28.8969 9.62431 27.7923 9.62431C26.6877 9.62431 25.7923 10.5197 25.7923 11.6243H29.7923ZM2.58398 27.9576C1.47942 27.9576 0.583985 28.8531 0.583984 29.9576C0.583984 31.0622 1.47941 31.9576 2.58398 31.9576L2.58398 27.9576ZM20.9173 31.9576C22.0219 31.9576 22.9173 31.0622 22.9173 29.9576C22.9173 28.8531 22.0219 27.9576 20.9173 27.9576V31.9576ZM7.16732 34.8326C6.06275 34.8326 5.16732 35.7281 5.16732 36.8326C5.16732 37.9372 6.06275 38.8326 7.16732 38.8326V34.8326ZM20.9173 38.8326C22.0219 38.8326 22.9173 37.9372 22.9173 36.8326C22.9173 35.7281 22.0219 34.8326 20.9173 34.8326V38.8326ZM14.0423 41.7076C12.9377 41.7076 12.0423 42.6031 12.0423 43.7076C12.0423 44.8122 12.9377 45.7076 14.0423 45.7076V41.7076ZM20.9173 45.7076C22.0219 45.7076 22.9173 44.8122 22.9173 43.7076C22.9173 42.6031 22.0219 41.7076 20.9173 41.7076V45.7076ZM27.7923 45.7076C30.7635 45.7076 33.7055 45.1224 36.4505 43.9854L34.9198 40.2899C32.6601 41.2259 30.2382 41.7076 27.7923 41.7076V45.7076ZM36.4505 43.9854C39.1955 42.8484 41.6897 41.1819 43.7906 39.0809L40.9622 36.2525C39.2327 37.982 37.1795 39.3539 34.9198 40.2899L36.4505 43.9854ZM43.7906 39.0809C45.8915 36.98 47.5581 34.4858 48.6951 31.7409L44.9996 30.2101C44.0636 32.4698 42.6917 34.523 40.9622 36.2525L43.7906 39.0809ZM48.6951 31.7409C49.8321 28.9959 50.4173 26.0538 50.4173 23.0826H46.4173C46.4173 25.5285 45.9356 27.9504 44.9996 30.2101L48.6951 31.7409ZM50.4173 23.0826C50.4173 20.1115 49.8321 17.1694 48.6951 14.4244L44.9996 15.9552C45.9356 18.2149 46.4173 20.6368 46.4173 23.0826H50.4173ZM48.6951 14.4244C47.5581 11.6794 45.8915 9.18528 43.7906 7.08435L40.9622 9.91278C42.6917 11.6423 44.0636 13.6955 44.9996 15.9552L48.6951 14.4244ZM43.7906 7.08435C41.6897 4.98342 39.1955 3.31688 36.4505 2.17987L34.9198 5.87539C37.1795 6.81138 39.2327 8.18329 40.9622 9.91278L43.7906 7.08435ZM36.4505 2.17987C33.7055 1.04286 30.7635 0.457642 27.7923 0.457642V4.45764C30.2382 4.45764 32.6601 4.93939 34.9198 5.87539L36.4505 2.17987ZM27.7923 0.457642C24.8212 0.457642 21.8791 1.04286 19.1341 2.17987L20.6648 5.87539C22.9245 4.93939 25.3464 4.45764 27.7923 4.45764V0.457642ZM19.1341 2.17987C16.3891 3.31688 13.895 4.98342 11.794 7.08435L14.6225 9.91278C16.3519 8.18329 18.4051 6.81138 20.6648 5.87539L19.1341 2.17987ZM11.794 7.08435C9.6931 9.18528 8.02656 11.6794 6.88954 14.4244L10.5851 15.9552C11.5211 13.6955 12.893 11.6423 14.6225 9.91278L11.794 7.08435ZM6.88954 14.4244C5.75253 17.1694 5.16732 20.1115 5.16732 23.0826H9.16732C9.16732 20.6368 9.64907 18.2149 10.5851 15.9552L6.88954 14.4244ZM26.6829 24.7467L33.5579 29.3301L35.7767 26.0019L28.9017 21.4185L26.6829 24.7467ZM25.7923 11.6243V23.0826H29.7923V11.6243H25.7923ZM2.58398 31.9576L20.9173 31.9576V27.9576L2.58398 27.9576L2.58398 31.9576ZM7.16732 38.8326H20.9173V34.8326H7.16732V38.8326ZM14.0423 45.7076H20.9173V41.7076H14.0423V45.7076Z" fill="black"></path></svg><div class="line-clamp-1">Responds within a few days</div><div class="styles_tooltip-text__bYBqF">Based on past data, Kalepa usually responds to incoming applications within a few days</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><div class="line-clamp-1">B2B</div></div></li><li class="inline-flex h-[20px] w-auto max-w-max place-items-center rounded bg-neutral-200 px-1 text-[10px] font-medium text-neutral-800">+2</li></ul></div></div><div class="mb-4 w-full px-4"><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/1495280-senior-machine-learning-engineer-usa">Senior Machine Learning Engineer (USA)</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 20 20" width="14" xmlns="http://www.w3.org/2000/svg" class="sm:h-5 sm:w-5"><path d="M12.3333 7.49998C12.1824 7.23811 11.963 7.02223 11.6988 6.87544C11.4346 6.72865 11.1354 6.65647 10.8333 6.66664H9.16667C8.72464 6.66664 8.30072 6.84224 7.98816 7.1548C7.67559 7.46736 7.5 7.89128 7.5 8.33331C7.5 8.77534 7.67559 9.19926 7.98816 9.51182C8.30072 9.82438 8.72464 9.99998 9.16667 9.99998H10.8333C11.2754 9.99998 11.6993 10.1756 12.0118 10.4881C12.3244 10.8007 12.5 11.2246 12.5 11.6666C12.5 12.1087 12.3244 12.5326 12.0118 12.8452C11.6993 13.1577 11.2754 13.3333 10.8333 13.3333H9.16667C8.86458 13.3435 8.56541 13.2713 8.30118 13.1245C8.03696 12.9777 7.81763 12.7618 7.66667 12.5M10 5.83333V14.1667M2.5 10C2.5 10.9849 2.69399 11.9602 3.0709 12.8701C3.44781 13.7801 4.00026 14.6069 4.6967 15.3033C5.39314 15.9997 6.21993 16.5522 7.12987 16.9291C8.03982 17.306 9.01509 17.5 10 17.5C10.9849 17.5 11.9602 17.306 12.8701 16.9291C13.7801 16.5522 14.6069 15.9997 15.3033 15.3033C15.9997 14.6069 16.5522 13.7801 16.9291 12.8701C17.306 11.9602 17.5 10.9849 17.5 10C17.5 9.01509 17.306 8.03982 16.9291 7.12987C16.5522 6.21993 15.9997 5.39314 15.3033 4.6967C14.6069 4.00026 13.7801 3.44781 12.8701 3.0709C11.9602 2.69399 10.9849 2.5 10 2.5C9.01509 2.5 8.03982 2.69399 7.12987 3.0709C6.21993 3.44781 5.39314 4.00026 4.6967 4.6967C4.00026 5.39314 3.44781 6.21993 3.0709 7.12987C2.69399 8.03982 2.5 9.01509 2.5 10Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">$160k – $210k • 0.05% – 0.2%</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">Remote • New York City</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 17 17" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M5.33335 4.83333V3.16667C5.33335 2.72464 5.50895 2.30072 5.82151 1.98816C6.13407 1.67559 6.55799 1.5 7.00002 1.5H10.3334C10.7754 1.5 11.1993 1.67559 11.5119 1.98816C11.8244 2.30072 12 2.72464 12 3.16667V4.83333M8.66669 9V9.00833M1.16669 9.83333C3.493 11.0056 6.06171 11.6162 8.66669 11.6162C11.2717 11.6162 13.8404 11.0056 16.1667 9.83333M1.16669 6.5C1.16669 6.05797 1.34228 5.63405 1.65484 5.32149C1.9674 5.00893 2.39133 4.83333 2.83335 4.83333H14.5C14.942 4.83333 15.366 5.00893 15.6785 5.32149C15.9911 5.63405 16.1667 6.05797 16.1667 6.5V14C16.1667 14.442 15.9911 14.866 15.6785 15.1785C15.366 15.4911 14.942 15.6667 14.5 15.6667H2.83335C2.39133 15.6667 1.9674 15.4911 1.65484 15.1785C1.34228 14.866 1.16669 14.442 1.16669 14V6.5Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">5 years of exp</span></div></div><span class="text-xs lowercase text-dark-a md:hidden">7 days ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">7 days ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 hover:border-gtmblue-500" data-test="JobApplicationApplyButton" type="button">Apply</button></div></div></div><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/1494259-senior-backend-engineer-usa">Senior Backend Engineer (USA)</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 20 20" width="14" xmlns="http://www.w3.org/2000/svg" class="sm:h-5 sm:w-5"><path d="M12.3333 7.49998C12.1824 7.23811 11.963 7.02223 11.6988 6.87544C11.4346 6.72865 11.1354 6.65647 10.8333 6.66664H9.16667C8.72464 6.66664 8.30072 6.84224 7.98816 7.1548C7.67559 7.46736 7.5 7.89128 7.5 8.33331C7.5 8.77534 7.67559 9.19926 7.98816 9.51182C8.30072 9.82438 8.72464 9.99998 9.16667 9.99998H10.8333C11.2754 9.99998 11.6993 10.1756 12.0118 10.4881C12.3244 10.8007 12.5 11.2246 12.5 11.6666C12.5 12.1087 12.3244 12.5326 12.0118 12.8452C11.6993 13.1577 11.2754 13.3333 10.8333 13.3333H9.16667C8.86458 13.3435 8.56541 13.2713 8.30118 13.1245C8.03696 12.9777 7.81763 12.7618 7.66667 12.5M10 5.83333V14.1667M2.5 10C2.5 10.9849 2.69399 11.9602 3.0709 12.8701C3.44781 13.7801 4.00026 14.6069 4.6967 15.3033C5.39314 15.9997 6.21993 16.5522 7.12987 16.9291C8.03982 17.306 9.01509 17.5 10 17.5C10.9849 17.5 11.9602 17.306 12.8701 16.9291C13.7801 16.5522 14.6069 15.9997 15.3033 15.3033C15.9997 14.6069 16.5522 13.7801 16.9291 12.8701C17.306 11.9602 17.5 10.9849 17.5 10C17.5 9.01509 17.306 8.03982 16.9291 7.12987C16.5522 6.21993 15.9997 5.39314 15.3033 4.6967C14.6069 4.00026 13.7801 3.44781 12.8701 3.0709C11.9602 2.69399 10.9849 2.5 10 2.5C9.01509 2.5 8.03982 2.69399 7.12987 3.0709C6.21993 3.44781 5.39314 4.00026 4.6967 4.6967C4.00026 5.39314 3.44781 6.21993 3.0709 7.12987C2.69399 8.03982 2.5 9.01509 2.5 10Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">$150k – $200k • 0.05% – 0.2%</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">Remote • New York City</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 17 17" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M5.33335 4.83333V3.16667C5.33335 2.72464 5.50895 2.30072 5.82151 1.98816C6.13407 1.67559 6.55799 1.5 7.00002 1.5H10.3334C10.7754 1.5 11.1993 1.67559 11.5119 1.98816C11.8244 2.30072 12 2.72464 12 3.16667V4.83333M8.66669 9V9.00833M1.16669 9.83333C3.493 11.0056 6.06171 11.6162 8.66669 11.6162C11.2717 11.6162 13.8404 11.0056 16.1667 9.83333M1.16669 6.5C1.16669 6.05797 1.34228 5.63405 1.65484 5.32149C1.9674 5.00893 2.39133 4.83333 2.83335 4.83333H14.5C14.942 4.83333 15.366 5.00893 15.6785 5.32149C15.9911 5.63405 16.1667 6.05797 16.1667 6.5V14C16.1667 14.442 15.9911 14.866 15.6785 15.1785C15.366 15.4911 14.942 15.6667 14.5 15.6667H2.83335C2.39133 15.6667 1.9674 15.4911 1.65484 15.1785C1.34228 14.866 1.16669 14.442 1.16669 14V6.5Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">5 years of exp</span></div></div><span class="text-xs lowercase text-dark-a md:hidden">7 days ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">7 days ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 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9.19926 7.98816 9.51182C8.30072 9.82438 8.72464 9.99998 9.16667 9.99998H10.8333C11.2754 9.99998 11.6993 10.1756 12.0118 10.4881C12.3244 10.8007 12.5 11.2246 12.5 11.6666C12.5 12.1087 12.3244 12.5326 12.0118 12.8452C11.6993 13.1577 11.2754 13.3333 10.8333 13.3333H9.16667C8.86458 13.3435 8.56541 13.2713 8.30118 13.1245C8.03696 12.9777 7.81763 12.7618 7.66667 12.5M10 5.83333V14.1667M2.5 10C2.5 10.9849 2.69399 11.9602 3.0709 12.8701C3.44781 13.7801 4.00026 14.6069 4.6967 15.3033C5.39314 15.9997 6.21993 16.5522 7.12987 16.9291C8.03982 17.306 9.01509 17.5 10 17.5C10.9849 17.5 11.9602 17.306 12.8701 16.9291C13.7801 16.5522 14.6069 15.9997 15.3033 15.3033C15.9997 14.6069 16.5522 13.7801 16.9291 12.8701C17.306 11.9602 17.5 10.9849 17.5 10C17.5 9.01509 17.306 8.03982 16.9291 7.12987C16.5522 6.21993 15.9997 5.39314 15.3033 4.6967C14.6069 4.00026 13.7801 3.44781 12.8701 3.0709C11.9602 2.69399 10.9849 2.5 10 2.5C9.01509 2.5 8.03982 2.69399 7.12987 3.0709C6.21993 3.44781 5.39314 4.00026 4.6967 4.6967C4.00026 5.39314 3.44781 6.21993 3.0709 7.12987C2.69399 8.03982 2.5 9.01509 2.5 10Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">$150k – $185k • 0.03% – 0.15%</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">Remote • New York City</span></div></div><span class="text-xs lowercase text-dark-a md:hidden">2 months ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">2 months ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 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text-sm font-medium text-pop-green"><div class="mr-1 h-2 w-2 rounded-2xl bg-pop-green"></div>Actively Hiring</div></div><span class="text-xs text-neutral-1000">The API For Training Data</span><span class="text-xs italic text-neutral-500">501-1000 Employees</span></div></div></div><div class="flex w-full space-x-2 text-[10px] text-accent-persian-600"><ul class="grid w-full grid-cols-2 justify-start gap-2 sm:place-items-center xs:flex xs:flex-row xs:flex-wrap"><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><div class="line-clamp-1">B2B</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg fill="none" height="12" viewBox="0 0 12 12" width="12" xmlns="http://www.w3.org/2000/svg" class="haloIcon"><path d="M6 9.5C4.67392 9.5 3.40215 8.97322 2.46447 8.03553C1.52678 7.09785 1 5.82608 1 4.5C1.65661 4.5 2.30679 4.62933 2.91342 4.8806C3.52005 5.13188 4.07124 5.50017 4.53553 5.96447C4.99983 6.42876 5.36812 6.97995 5.6194 7.58658C5.87067 8.19321 6 8.84339 6 9.5ZM6 9.5C7.32608 9.5 8.59785 8.97322 9.53553 8.03553C10.4732 7.09785 11 5.82608 11 4.5C9.67392 4.5 8.40215 5.02678 7.46447 5.96447C6.52678 6.90215 6 8.17392 6 9.5ZM7.495 5.75C7.52974 5.05424 7.41419 4.35916 7.15622 3.71206C6.89824 3.06496 6.50389 2.48103 6 2C5.49611 2.48103 5.10182 3.06496 4.84384 3.71206C4.58587 4.35916 4.47032 5.05424 4.50506 5.75" stroke="black" stroke-linecap="round" stroke-linejoin="round"></path></svg><div class="line-clamp-1">Scale Stage</div><div class="styles_tooltip-text__bYBqF">Rapidly increasing operations</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg fill="none" height="12" viewBox="0 0 12 12" width="12" xmlns="http://www.w3.org/2000/svg" class="haloIcon"><path d="M8.35 4C8.25048 3.71762 8.06872 3.47148 7.82814 3.29327C7.58755 3.11505 7.29913 3.01292 7 3H5C4.60218 3 4.22064 3.15804 3.93934 3.43934C3.65804 3.72064 3.5 4.10218 3.5 4.5C3.5 4.89782 3.65804 5.27936 3.93934 5.56066C4.22064 5.84196 4.60218 6 5 6H7C7.39782 6 7.77936 6.15804 8.06066 6.43934C8.34196 6.72064 8.5 7.10218 8.5 7.5C8.5 7.89782 8.34196 8.27936 8.06066 8.56066C7.77936 8.84196 7.39782 9 7 9H5C4.70087 8.98708 4.41245 8.88495 4.17186 8.70673C3.93128 8.52852 3.74952 8.28238 3.65 8M6 1.5V3M6 9V10.5" stroke="black" stroke-linecap="round" stroke-linejoin="round"></path></svg><div class="line-clamp-1">Top Investors</div><div class="styles_tooltip-text__bYBqF">This company has received a significant amount of investment from top investors</div></div></li><li class="inline-flex h-[20px] w-auto max-w-max place-items-center rounded bg-neutral-200 px-1 text-[10px] font-medium text-neutral-800">+2</li></ul></div></div><div class="mb-4 w-full px-4"><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/2758379-senior-software-engineer-federal">Senior Software Engineer, Federal</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 20 20" width="14" xmlns="http://www.w3.org/2000/svg" class="sm:h-5 sm:w-5"><path d="M12.3333 7.49998C12.1824 7.23811 11.963 7.02223 11.6988 6.87544C11.4346 6.72865 11.1354 6.65647 10.8333 6.66664H9.16667C8.72464 6.66664 8.30072 6.84224 7.98816 7.1548C7.67559 7.46736 7.5 7.89128 7.5 8.33331C7.5 8.77534 7.67559 9.19926 7.98816 9.51182C8.30072 9.82438 8.72464 9.99998 9.16667 9.99998H10.8333C11.2754 9.99998 11.6993 10.1756 12.0118 10.4881C12.3244 10.8007 12.5 11.2246 12.5 11.6666C12.5 12.1087 12.3244 12.5326 12.0118 12.8452C11.6993 13.1577 11.2754 13.3333 10.8333 13.3333H9.16667C8.86458 13.3435 8.56541 13.2713 8.30118 13.1245C8.03696 12.9777 7.81763 12.7618 7.66667 12.5M10 5.83333V14.1667M2.5 10C2.5 10.9849 2.69399 11.9602 3.0709 12.8701C3.44781 13.7801 4.00026 14.6069 4.6967 15.3033C5.39314 15.9997 6.21993 16.5522 7.12987 16.9291C8.03982 17.306 9.01509 17.5 10 17.5C10.9849 17.5 11.9602 17.306 12.8701 16.9291C13.7801 16.5522 14.6069 15.9997 15.3033 15.3033C15.9997 14.6069 16.5522 13.7801 16.9291 12.8701C17.306 11.9602 17.5 10.9849 17.5 10C17.5 9.01509 17.306 8.03982 16.9291 7.12987C16.5522 6.21993 15.9997 5.39314 15.3033 4.6967C14.6069 4.00026 13.7801 3.44781 12.8701 3.0709C11.9602 2.69399 10.9849 2.5 10 2.5C9.01509 2.5 8.03982 2.69399 7.12987 3.0709C6.21993 3.44781 5.39314 4.00026 4.6967 4.6967C4.00026 5.39314 3.44781 6.21993 3.0709 7.12987C2.69399 8.03982 2.5 9.01509 2.5 10Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">$179k – $215k</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">New York City • Washington DC<span class="ml-1 inline-flex h-4 items-center rounded border border-neutral-200 bg-neutral-50 px-1 text-xs text-neutral-500">+1</span></span></div></div><span class="text-xs lowercase text-dark-a md:hidden">3 days ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">3 days ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 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4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">New York City • San Francisco</span></div></div><span class="text-xs lowercase text-dark-a md:hidden">1 week ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">1 week ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 hover:border-gtmblue-500" data-test="JobApplicationApplyButton" type="button">Apply</button></div></div></div><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/2703525-machine-learning-engineer-federal">Machine Learning Engineer, Federal</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 20 20" width="14" xmlns="http://www.w3.org/2000/svg" class="sm:h-5 sm:w-5"><path d="M12.3333 7.49998C12.1824 7.23811 11.963 7.02223 11.6988 6.87544C11.4346 6.72865 11.1354 6.65647 10.8333 6.66664H9.16667C8.72464 6.66664 8.30072 6.84224 7.98816 7.1548C7.67559 7.46736 7.5 7.89128 7.5 8.33331C7.5 8.77534 7.67559 9.19926 7.98816 9.51182C8.30072 9.82438 8.72464 9.99998 9.16667 9.99998H10.8333C11.2754 9.99998 11.6993 10.1756 12.0118 10.4881C12.3244 10.8007 12.5 11.2246 12.5 11.6666C12.5 12.1087 12.3244 12.5326 12.0118 12.8452C11.6993 13.1577 11.2754 13.3333 10.8333 13.3333H9.16667C8.86458 13.3435 8.56541 13.2713 8.30118 13.1245C8.03696 12.9777 7.81763 12.7618 7.66667 12.5M10 5.83333V14.1667M2.5 10C2.5 10.9849 2.69399 11.9602 3.0709 12.8701C3.44781 13.7801 4.00026 14.6069 4.6967 15.3033C5.39314 15.9997 6.21993 16.5522 7.12987 16.9291C8.03982 17.306 9.01509 17.5 10 17.5C10.9849 17.5 11.9602 17.306 12.8701 16.9291C13.7801 16.5522 14.6069 15.9997 15.3033 15.3033C15.9997 14.6069 16.5522 13.7801 16.9291 12.8701C17.306 11.9602 17.5 10.9849 17.5 10C17.5 9.01509 17.306 8.03982 16.9291 7.12987C16.5522 6.21993 15.9997 5.39314 15.3033 4.6967C14.6069 4.00026 13.7801 3.44781 12.8701 3.0709C11.9602 2.69399 10.9849 2.5 10 2.5C9.01509 2.5 8.03982 2.69399 7.12987 3.0709C6.21993 3.44781 5.39314 4.00026 4.6967 4.6967C4.00026 5.39314 3.44781 6.21993 3.0709 7.12987C2.69399 8.03982 2.5 9.01509 2.5 10Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">$201k – $241k</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">New York City • Washington DC<span class="ml-1 inline-flex h-4 items-center rounded border border-neutral-200 bg-neutral-50 px-1 text-xs text-neutral-500">+1</span></span></div></div><span class="text-xs lowercase text-dark-a md:hidden">1 year ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">1 year ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 hover:border-gtmblue-500" data-test="JobApplicationApplyButton" type="button">Apply</button></div></div></div></div></div><div class="mb-6 w-full rounded border border-gray-400 bg-white"><div class="w-full space-y-2 px-4 pb-2 pt-4"><div class="flex-col"><div class="flex w-full"><a class="content-center" href="/company/daimon-labs-3"><div class="flex h-14 w-14 justify-center overflow-hidden rounded-2xl border border-gray-400 bg-gray-100"><img alt="Daimon Labs company logo" loading="lazy" src="/cdn-cgi/image/width=112,height=112,fit=scale-down,gravity=0.5x0.5,quality=90,format=auto/https://photos.wellfound.com/startups/i/9392428-81979f86959b2b19f10b93b6fe78580e-medium_jpg.jpg?buster=1677452584" height="56" width="56" class="rounded-2xl object-contain"/></div></a><div class="pl-2 flex flex-col"><div class="flex space-x-2"><a class="text-neutral-1000 hover:underline focus:no-underline" href="/company/daimon-labs-3"><h2 class="inline text-md font-semibold">Daimon Labs</h2></a></div><span class="text-xs text-neutral-1000">Daimon Labs is building the platform for AI emotional intelligence</span><span class="text-xs italic text-neutral-500">1-10 Employees</span></div></div></div><div class="flex w-full space-x-2 text-[10px] text-accent-persian-600"><ul class="grid w-full grid-cols-2 justify-start gap-2 sm:place-items-center xs:flex xs:flex-row xs:flex-wrap"><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg fill="none" height="12" viewBox="0 0 12 12" width="12" xmlns="http://www.w3.org/2000/svg" class="haloIcon"><path d="M2.5 10.5C2.75 8.25 3.75 6.5 6 5.5M4.50016 9C7.60916 9 9.75016 7.356 10.0002 3V2H7.99316C3.49316 2 2.00016 4 1.99316 6.5C1.99316 7 1.99316 8 2.99316 9H4.50016Z" stroke="black" stroke-linecap="round" stroke-linejoin="round"></path></svg><div class="line-clamp-1">Early Stage</div><div class="styles_tooltip-text__bYBqF">Startup in initial stages</div></div></li></ul></div></div><div class="mb-4 w-full px-4"><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/2590900-machine-learning-engineer">Machine Learning Engineer</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">Remote • New York City</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 17 17" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M5.33335 4.83333V3.16667C5.33335 2.72464 5.50895 2.30072 5.82151 1.98816C6.13407 1.67559 6.55799 1.5 7.00002 1.5H10.3334C10.7754 1.5 11.1993 1.67559 11.5119 1.98816C11.8244 2.30072 12 2.72464 12 3.16667V4.83333M8.66669 9V9.00833M1.16669 9.83333C3.493 11.0056 6.06171 11.6162 8.66669 11.6162C11.2717 11.6162 13.8404 11.0056 16.1667 9.83333M1.16669 6.5C1.16669 6.05797 1.34228 5.63405 1.65484 5.32149C1.9674 5.00893 2.39133 4.83333 2.83335 4.83333H14.5C14.942 4.83333 15.366 5.00893 15.6785 5.32149C15.9911 5.63405 16.1667 6.05797 16.1667 6.5V14C16.1667 14.442 15.9911 14.866 15.6785 15.1785C15.366 15.4911 14.942 15.6667 14.5 15.6667H2.83335C2.39133 15.6667 1.9674 15.4911 1.65484 15.1785C1.34228 14.866 1.16669 14.442 1.16669 14V6.5Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">3 years of exp</span></div></div><span class="text-xs lowercase text-dark-a md:hidden">1 year ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">1 year ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 hover:border-gtmblue-500" data-test="JobApplicationApplyButton" type="button">Apply</button></div></div></div></div></div><div class="mb-6 w-full rounded border border-gray-400 bg-white"><div class="w-full space-y-2 px-4 pb-2 pt-4"><div class="flex-col"><div class="flex w-full"><a class="content-center" href="/company/enigma-data"><div class="flex h-14 w-14 justify-center overflow-hidden rounded-2xl border border-gray-400 bg-gray-100"><img alt="Enigma Technologies company logo" loading="lazy" src="/cdn-cgi/image/width=112,height=112,fit=scale-down,gravity=0.5x0.5,quality=90,format=auto/https://photos.wellfound.com/startups/i/129914-e5e14a96ac285e57f0e3e3ca7e1e9752-medium_jpg.jpg?buster=1589645734" height="56" width="56" class="rounded-2xl object-contain"/></div></a><div class="pl-2 flex flex-col"><div class="flex space-x-2"><a class="text-neutral-1000 hover:underline focus:no-underline" href="/company/enigma-data"><h2 class="inline text-md font-semibold">Enigma Technologies</h2></a><div class="flex items-center text-sm font-medium text-pop-green"><div class="mr-1 h-2 w-2 rounded-2xl bg-pop-green"></div>Actively Hiring</div></div><span class="text-xs text-neutral-1000">Building world-class infrastructure and tools that transform how businesses interact</span><span class="text-xs italic text-neutral-500">51-200 Employees</span></div></div></div><div class="flex w-full space-x-2 text-[10px] text-accent-persian-600"><ul class="grid w-full grid-cols-2 justify-start gap-2 sm:place-items-center xs:flex xs:flex-row xs:flex-wrap"><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg class="haloIcon" fill="none" height="12" viewBox="0 0 51 46" width="12" xmlns="http://www.w3.org/2000/svg"><path d="M5.16732 23.0826C5.16732 24.1872 6.06275 25.0826 7.16732 25.0826C8.27189 25.0826 9.16732 24.1872 9.16732 23.0826H5.16732ZM27.7923 41.7076C26.6877 41.7076 25.7923 42.6031 25.7923 43.7076C25.7923 44.8122 26.6877 45.7076 27.7923 45.7076V41.7076ZM48.4173 23.0826H46.4173H48.4173ZM27.7923 2.45764V0.457642V2.45764ZM27.7923 23.0826H25.7923C25.7923 23.7513 26.1265 24.3758 26.6829 24.7467L27.7923 23.0826ZM33.5579 29.3301C34.477 29.9428 35.7187 29.6944 36.3314 28.7754C36.9441 27.8563 36.6958 26.6146 35.7767 26.0019L33.5579 29.3301ZM29.7923 11.6243C29.7923 10.5197 28.8969 9.62431 27.7923 9.62431C26.6877 9.62431 25.7923 10.5197 25.7923 11.6243H29.7923ZM2.58398 27.9576C1.47942 27.9576 0.583985 28.8531 0.583984 29.9576C0.583984 31.0622 1.47941 31.9576 2.58398 31.9576L2.58398 27.9576ZM20.9173 31.9576C22.0219 31.9576 22.9173 31.0622 22.9173 29.9576C22.9173 28.8531 22.0219 27.9576 20.9173 27.9576V31.9576ZM7.16732 34.8326C6.06275 34.8326 5.16732 35.7281 5.16732 36.8326C5.16732 37.9372 6.06275 38.8326 7.16732 38.8326V34.8326ZM20.9173 38.8326C22.0219 38.8326 22.9173 37.9372 22.9173 36.8326C22.9173 35.7281 22.0219 34.8326 20.9173 34.8326V38.8326ZM14.0423 41.7076C12.9377 41.7076 12.0423 42.6031 12.0423 43.7076C12.0423 44.8122 12.9377 45.7076 14.0423 45.7076V41.7076ZM20.9173 45.7076C22.0219 45.7076 22.9173 44.8122 22.9173 43.7076C22.9173 42.6031 22.0219 41.7076 20.9173 41.7076V45.7076ZM27.7923 45.7076C30.7635 45.7076 33.7055 45.1224 36.4505 43.9854L34.9198 40.2899C32.6601 41.2259 30.2382 41.7076 27.7923 41.7076V45.7076ZM36.4505 43.9854C39.1955 42.8484 41.6897 41.1819 43.7906 39.0809L40.9622 36.2525C39.2327 37.982 37.1795 39.3539 34.9198 40.2899L36.4505 43.9854ZM43.7906 39.0809C45.8915 36.98 47.5581 34.4858 48.6951 31.7409L44.9996 30.2101C44.0636 32.4698 42.6917 34.523 40.9622 36.2525L43.7906 39.0809ZM48.6951 31.7409C49.8321 28.9959 50.4173 26.0538 50.4173 23.0826H46.4173C46.4173 25.5285 45.9356 27.9504 44.9996 30.2101L48.6951 31.7409ZM50.4173 23.0826C50.4173 20.1115 49.8321 17.1694 48.6951 14.4244L44.9996 15.9552C45.9356 18.2149 46.4173 20.6368 46.4173 23.0826H50.4173ZM48.6951 14.4244C47.5581 11.6794 45.8915 9.18528 43.7906 7.08435L40.9622 9.91278C42.6917 11.6423 44.0636 13.6955 44.9996 15.9552L48.6951 14.4244ZM43.7906 7.08435C41.6897 4.98342 39.1955 3.31688 36.4505 2.17987L34.9198 5.87539C37.1795 6.81138 39.2327 8.18329 40.9622 9.91278L43.7906 7.08435ZM36.4505 2.17987C33.7055 1.04286 30.7635 0.457642 27.7923 0.457642V4.45764C30.2382 4.45764 32.6601 4.93939 34.9198 5.87539L36.4505 2.17987ZM27.7923 0.457642C24.8212 0.457642 21.8791 1.04286 19.1341 2.17987L20.6648 5.87539C22.9245 4.93939 25.3464 4.45764 27.7923 4.45764V0.457642ZM19.1341 2.17987C16.3891 3.31688 13.895 4.98342 11.794 7.08435L14.6225 9.91278C16.3519 8.18329 18.4051 6.81138 20.6648 5.87539L19.1341 2.17987ZM11.794 7.08435C9.6931 9.18528 8.02656 11.6794 6.88954 14.4244L10.5851 15.9552C11.5211 13.6955 12.893 11.6423 14.6225 9.91278L11.794 7.08435ZM6.88954 14.4244C5.75253 17.1694 5.16732 20.1115 5.16732 23.0826H9.16732C9.16732 20.6368 9.64907 18.2149 10.5851 15.9552L6.88954 14.4244ZM26.6829 24.7467L33.5579 29.3301L35.7767 26.0019L28.9017 21.4185L26.6829 24.7467ZM25.7923 11.6243V23.0826H29.7923V11.6243H25.7923ZM2.58398 31.9576L20.9173 31.9576V27.9576L2.58398 27.9576L2.58398 31.9576ZM7.16732 38.8326H20.9173V34.8326H7.16732V38.8326ZM14.0423 45.7076H20.9173V41.7076H14.0423V45.7076Z" fill="black"></path></svg><div class="line-clamp-1">Responds within three weeks</div><div class="styles_tooltip-text__bYBqF">Based on past data, Enigma Technologies usually responds to incoming applications within three weeks</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><div class="line-clamp-1">B2B</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg fill="none" height="12" viewBox="0 0 12 12" width="12" xmlns="http://www.w3.org/2000/svg" class="haloIcon"><path d="M6 6H4.5C3.70435 6 2.94129 5.68393 2.37868 5.12132C1.81607 4.55871 1.5 3.79565 1.5 3V2H3C3.79565 2 4.55871 2.31607 5.12132 2.87868C5.68393 3.44129 6 4.20435 6 5V10M6 7C6 6.20435 6.31607 5.44129 6.87868 4.87868C7.44129 4.31607 8.20435 4 9 4H10.5V4.5C10.5 5.29565 10.1839 6.05871 9.62132 6.62132C9.05871 7.18393 8.29565 7.5 7.5 7.5H6" stroke="black" stroke-linecap="round" stroke-linejoin="round"></path></svg><div class="line-clamp-1">Growth Stage</div><div class="styles_tooltip-text__bYBqF">Expanding market presence</div></div></li><li class="inline-flex h-[20px] w-auto max-w-max place-items-center rounded bg-neutral-200 px-1 text-[10px] font-medium text-neutral-800">+3</li></ul></div></div><div class="mb-4 w-full px-4"><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/3087528-senior-machine-learning-engineer">Senior Machine Learning Engineer</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 20 20" width="14" xmlns="http://www.w3.org/2000/svg" class="sm:h-5 sm:w-5"><path d="M12.3333 7.49998C12.1824 7.23811 11.963 7.02223 11.6988 6.87544C11.4346 6.72865 11.1354 6.65647 10.8333 6.66664H9.16667C8.72464 6.66664 8.30072 6.84224 7.98816 7.1548C7.67559 7.46736 7.5 7.89128 7.5 8.33331C7.5 8.77534 7.67559 9.19926 7.98816 9.51182C8.30072 9.82438 8.72464 9.99998 9.16667 9.99998H10.8333C11.2754 9.99998 11.6993 10.1756 12.0118 10.4881C12.3244 10.8007 12.5 11.2246 12.5 11.6666C12.5 12.1087 12.3244 12.5326 12.0118 12.8452C11.6993 13.1577 11.2754 13.3333 10.8333 13.3333H9.16667C8.86458 13.3435 8.56541 13.2713 8.30118 13.1245C8.03696 12.9777 7.81763 12.7618 7.66667 12.5M10 5.83333V14.1667M2.5 10C2.5 10.9849 2.69399 11.9602 3.0709 12.8701C3.44781 13.7801 4.00026 14.6069 4.6967 15.3033C5.39314 15.9997 6.21993 16.5522 7.12987 16.9291C8.03982 17.306 9.01509 17.5 10 17.5C10.9849 17.5 11.9602 17.306 12.8701 16.9291C13.7801 16.5522 14.6069 15.9997 15.3033 15.3033C15.9997 14.6069 16.5522 13.7801 16.9291 12.8701C17.306 11.9602 17.5 10.9849 17.5 10C17.5 9.01509 17.306 8.03982 16.9291 7.12987C16.5522 6.21993 15.9997 5.39314 15.3033 4.6967C14.6069 4.00026 13.7801 3.44781 12.8701 3.0709C11.9602 2.69399 10.9849 2.5 10 2.5C9.01509 2.5 8.03982 2.69399 7.12987 3.0709C6.21993 3.44781 5.39314 4.00026 4.6967 4.6967C4.00026 5.39314 3.44781 6.21993 3.0709 7.12987C2.69399 8.03982 2.5 9.01509 2.5 10Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">$160k – $210k</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">Remote • New York</span></div></div><span class="text-xs lowercase text-dark-a md:hidden">2 months ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">2 months ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 hover:border-gtmblue-500" data-test="JobApplicationApplyButton" type="button">Apply</button></div></div></div></div></div><div class="mb-6 w-full rounded border border-gray-400 bg-white"><div class="w-full space-y-2 px-4 pb-2 pt-4"><div class="flex-col"><div class="flex w-full"><a class="content-center" href="/company/firsthand-labs"><div class="flex h-14 w-14 justify-center overflow-hidden rounded-2xl border border-gray-400 bg-gray-100"><img alt="Firsthand company logo" loading="lazy" src="/cdn-cgi/image/width=112,height=112,fit=scale-down,gravity=0.5x0.5,quality=90,format=auto/https://photos.wellfound.com/startups/i/9810259-e32e5f99a6cfdb1e3332c7b960f7a30e-medium_jpg.jpg?buster=1696386711" height="56" width="56" class="rounded-2xl object-contain"/></div></a><div class="pl-2 flex flex-col"><div class="flex space-x-2"><a class="text-neutral-1000 hover:underline focus:no-underline" href="/company/firsthand-labs"><h2 class="inline text-md font-semibold">Firsthand</h2></a><div class="flex items-center text-sm font-medium text-pop-green"><div class="mr-1 h-2 w-2 rounded-2xl bg-pop-green"></div>Actively Hiring</div></div><span class="text-xs text-neutral-1000">Revolutionizing media for the AI era</span><span class="text-xs italic text-neutral-500">11-50 Employees</span></div></div></div><div class="flex w-full space-x-2 text-[10px] text-accent-persian-600"><ul class="grid w-full grid-cols-2 justify-start gap-2 sm:place-items-center xs:flex xs:flex-row xs:flex-wrap"><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg fill="none" height="12" viewBox="0 0 12 12" width="12" xmlns="http://www.w3.org/2000/svg" class="haloIcon"><path d="M2.5 10.5C2.75 8.25 3.75 6.5 6 5.5M4.50016 9C7.60916 9 9.75016 7.356 10.0002 3V2H7.99316C3.49316 2 2.00016 4 1.99316 6.5C1.99316 7 1.99316 8 2.99316 9H4.50016Z" stroke="black" stroke-linecap="round" stroke-linejoin="round"></path></svg><div class="line-clamp-1">Early Stage</div><div class="styles_tooltip-text__bYBqF">Startup in initial stages</div></div></li></ul></div></div><div class="mb-4 w-full px-4"><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/2903044-senior-staff-machine-learning-engineer">Senior/Staff Machine Learning Engineer</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 20 20" width="14" xmlns="http://www.w3.org/2000/svg" class="sm:h-5 sm:w-5"><path d="M12.3333 7.49998C12.1824 7.23811 11.963 7.02223 11.6988 6.87544C11.4346 6.72865 11.1354 6.65647 10.8333 6.66664H9.16667C8.72464 6.66664 8.30072 6.84224 7.98816 7.1548C7.67559 7.46736 7.5 7.89128 7.5 8.33331C7.5 8.77534 7.67559 9.19926 7.98816 9.51182C8.30072 9.82438 8.72464 9.99998 9.16667 9.99998H10.8333C11.2754 9.99998 11.6993 10.1756 12.0118 10.4881C12.3244 10.8007 12.5 11.2246 12.5 11.6666C12.5 12.1087 12.3244 12.5326 12.0118 12.8452C11.6993 13.1577 11.2754 13.3333 10.8333 13.3333H9.16667C8.86458 13.3435 8.56541 13.2713 8.30118 13.1245C8.03696 12.9777 7.81763 12.7618 7.66667 12.5M10 5.83333V14.1667M2.5 10C2.5 10.9849 2.69399 11.9602 3.0709 12.8701C3.44781 13.7801 4.00026 14.6069 4.6967 15.3033C5.39314 15.9997 6.21993 16.5522 7.12987 16.9291C8.03982 17.306 9.01509 17.5 10 17.5C10.9849 17.5 11.9602 17.306 12.8701 16.9291C13.7801 16.5522 14.6069 15.9997 15.3033 15.3033C15.9997 14.6069 16.5522 13.7801 16.9291 12.8701C17.306 11.9602 17.5 10.9849 17.5 10C17.5 9.01509 17.306 8.03982 16.9291 7.12987C16.5522 6.21993 15.9997 5.39314 15.3033 4.6967C14.6069 4.00026 13.7801 3.44781 12.8701 3.0709C11.9602 2.69399 10.9849 2.5 10 2.5C9.01509 2.5 8.03982 2.69399 7.12987 3.0709C6.21993 3.44781 5.39314 4.00026 4.6967 4.6967C4.00026 5.39314 3.44781 6.21993 3.0709 7.12987C2.69399 8.03982 2.5 9.01509 2.5 10Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">$140k – $220k</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">New York</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 17 17" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M5.33335 4.83333V3.16667C5.33335 2.72464 5.50895 2.30072 5.82151 1.98816C6.13407 1.67559 6.55799 1.5 7.00002 1.5H10.3334C10.7754 1.5 11.1993 1.67559 11.5119 1.98816C11.8244 2.30072 12 2.72464 12 3.16667V4.83333M8.66669 9V9.00833M1.16669 9.83333C3.493 11.0056 6.06171 11.6162 8.66669 11.6162C11.2717 11.6162 13.8404 11.0056 16.1667 9.83333M1.16669 6.5C1.16669 6.05797 1.34228 5.63405 1.65484 5.32149C1.9674 5.00893 2.39133 4.83333 2.83335 4.83333H14.5C14.942 4.83333 15.366 5.00893 15.6785 5.32149C15.9911 5.63405 16.1667 6.05797 16.1667 6.5V14C16.1667 14.442 15.9911 14.866 15.6785 15.1785C15.366 15.4911 14.942 15.6667 14.5 15.6667H2.83335C2.39133 15.6667 1.9674 15.4911 1.65484 15.1785C1.34228 14.866 1.16669 14.442 1.16669 14V6.5Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">5 years of exp</span></div></div><span class="text-xs lowercase text-dark-a md:hidden">2 weeks ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">2 weeks ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 hover:border-gtmblue-500" data-test="JobApplicationApplyButton" type="button">Apply</button></div></div></div></div></div><div class="mb-6 w-full rounded border border-gray-400 bg-white"><div class="w-full space-y-2 px-4 pb-2 pt-4"><div class="flex-col"><div class="flex w-full"><a class="content-center" href="/company/stripe"><div class="flex h-14 w-14 justify-center overflow-hidden rounded-2xl border border-gray-400 bg-gray-100"><img alt="Stripe company logo" loading="lazy" src="/cdn-cgi/image/width=112,height=112,fit=scale-down,gravity=0.5x0.5,quality=90,format=auto/https://photos.wellfound.com/startups/i/37232-b86e6247bcd9846c18c91fe65ca0355d-medium_jpg.jpg?buster=1610581275" height="56" width="56" class="rounded-2xl object-contain"/></div></a><div class="pl-2 flex flex-col"><div class="flex space-x-2"><a class="text-neutral-1000 hover:underline focus:no-underline" href="/company/stripe"><h2 class="inline text-md font-semibold">Stripe</h2></a><div class="flex items-center text-sm font-medium text-pop-green"><div class="mr-1 h-2 w-2 rounded-2xl bg-pop-green"></div>Actively Hiring</div></div><span class="text-xs text-neutral-1000">A new, comprehensive and clean standard for online payment processing</span><span class="text-xs italic text-neutral-500">1001-5000 Employees</span></div></div></div><div class="flex w-full space-x-2 text-[10px] text-accent-persian-600"><ul class="grid w-full grid-cols-2 justify-start gap-2 sm:place-items-center xs:flex xs:flex-row xs:flex-wrap"><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><div class="line-clamp-1">B2B</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg fill="none" height="12" viewBox="0 0 12 12" width="12" xmlns="http://www.w3.org/2000/svg" class="haloIcon"><path d="M6 9.5C4.67392 9.5 3.40215 8.97322 2.46447 8.03553C1.52678 7.09785 1 5.82608 1 4.5C1.65661 4.5 2.30679 4.62933 2.91342 4.8806C3.52005 5.13188 4.07124 5.50017 4.53553 5.96447C4.99983 6.42876 5.36812 6.97995 5.6194 7.58658C5.87067 8.19321 6 8.84339 6 9.5ZM6 9.5C7.32608 9.5 8.59785 8.97322 9.53553 8.03553C10.4732 7.09785 11 5.82608 11 4.5C9.67392 4.5 8.40215 5.02678 7.46447 5.96447C6.52678 6.90215 6 8.17392 6 9.5ZM7.495 5.75C7.52974 5.05424 7.41419 4.35916 7.15622 3.71206C6.89824 3.06496 6.50389 2.48103 6 2C5.49611 2.48103 5.10182 3.06496 4.84384 3.71206C4.58587 4.35916 4.47032 5.05424 4.50506 5.75" stroke="black" stroke-linecap="round" stroke-linejoin="round"></path></svg><div class="line-clamp-1">Scale Stage</div><div class="styles_tooltip-text__bYBqF">Rapidly increasing operations</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg fill="none" height="12" viewBox="0 0 12 12" width="12" xmlns="http://www.w3.org/2000/svg" class="haloIcon"><path d="M8.35 4C8.25048 3.71762 8.06872 3.47148 7.82814 3.29327C7.58755 3.11505 7.29913 3.01292 7 3H5C4.60218 3 4.22064 3.15804 3.93934 3.43934C3.65804 3.72064 3.5 4.10218 3.5 4.5C3.5 4.89782 3.65804 5.27936 3.93934 5.56066C4.22064 5.84196 4.60218 6 5 6H7C7.39782 6 7.77936 6.15804 8.06066 6.43934C8.34196 6.72064 8.5 7.10218 8.5 7.5C8.5 7.89782 8.34196 8.27936 8.06066 8.56066C7.77936 8.84196 7.39782 9 7 9H5C4.70087 8.98708 4.41245 8.88495 4.17186 8.70673C3.93128 8.52852 3.74952 8.28238 3.65 8M6 1.5V3M6 9V10.5" stroke="black" stroke-linecap="round" stroke-linejoin="round"></path></svg><div class="line-clamp-1">Top Investors</div><div class="styles_tooltip-text__bYBqF">This company has received a significant amount of investment from top investors</div></div></li><li class="inline-flex h-[20px] w-auto max-w-max place-items-center rounded bg-neutral-200 px-1 text-[10px] font-medium text-neutral-800">+3</li></ul></div></div><div class="mb-4 w-full px-4"><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/3134249-phd-machine-learning-engineer-intern">PhD Machine Learning Engineer, Intern</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">New York City • Seattle<span class="ml-1 inline-flex h-4 items-center rounded border border-neutral-200 bg-neutral-50 px-1 text-xs text-neutral-500">+1</span></span></div></div><span class="text-xs lowercase text-dark-a md:hidden">4 weeks ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">4 weeks ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 hover:border-gtmblue-500" data-test="JobApplicationApplyButton" type="button">Apply</button></div></div></div><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/3134248-phd-machine-learning-engineer-new-grad">PhD Machine Learning Engineer, New Grad</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">New York City • San Francisco</span></div></div><span class="text-xs lowercase text-dark-a md:hidden">4 weeks ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">4 weeks ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 hover:border-gtmblue-500" data-test="JobApplicationApplyButton" type="button">Apply</button></div></div></div></div></div><div class="mb-6 w-full rounded border border-gray-400 bg-white"><div class="w-full space-y-2 px-4 pb-2 pt-4"><div class="flex-col"><div class="flex w-full"><a class="content-center" href="/company/altana-trade"><div class="flex h-14 w-14 justify-center overflow-hidden rounded-2xl border border-gray-400 bg-gray-100"><img alt="Altana Technologies company logo" loading="lazy" src="/cdn-cgi/image/width=112,height=112,fit=scale-down,gravity=0.5x0.5,quality=90,format=auto/https://photos.wellfound.com/startups/i/6862677-8cea25e93ea5db00ab5a6b4e7288aebc-medium_jpg.jpg?buster=1614202391" height="56" width="56" class="rounded-2xl object-contain"/></div></a><div class="pl-2 flex flex-col"><div class="flex space-x-2"><a class="text-neutral-1000 hover:underline focus:no-underline" href="/company/altana-trade"><h2 class="inline text-md font-semibold">Altana Technologies</h2></a><div class="flex items-center text-sm font-medium text-pop-green"><div class="mr-1 h-2 w-2 rounded-2xl bg-pop-green"></div>Actively Hiring</div></div><span class="text-xs text-neutral-1000">Machine learning partnership for global trade</span><span class="text-xs italic text-neutral-500">11-50 Employees</span></div></div></div><div class="flex w-full space-x-2 text-[10px] text-accent-persian-600"><ul class="grid w-full grid-cols-2 justify-start gap-2 sm:place-items-center xs:flex xs:flex-row xs:flex-wrap"><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><div class="line-clamp-1">B2B</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg fill="none" height="12" viewBox="0 0 12 12" width="12" xmlns="http://www.w3.org/2000/svg" class="haloIcon"><path d="M6 9.5C4.67392 9.5 3.40215 8.97322 2.46447 8.03553C1.52678 7.09785 1 5.82608 1 4.5C1.65661 4.5 2.30679 4.62933 2.91342 4.8806C3.52005 5.13188 4.07124 5.50017 4.53553 5.96447C4.99983 6.42876 5.36812 6.97995 5.6194 7.58658C5.87067 8.19321 6 8.84339 6 9.5ZM6 9.5C7.32608 9.5 8.59785 8.97322 9.53553 8.03553C10.4732 7.09785 11 5.82608 11 4.5C9.67392 4.5 8.40215 5.02678 7.46447 5.96447C6.52678 6.90215 6 8.17392 6 9.5ZM7.495 5.75C7.52974 5.05424 7.41419 4.35916 7.15622 3.71206C6.89824 3.06496 6.50389 2.48103 6 2C5.49611 2.48103 5.10182 3.06496 4.84384 3.71206C4.58587 4.35916 4.47032 5.05424 4.50506 5.75" stroke="black" stroke-linecap="round" stroke-linejoin="round"></path></svg><div class="line-clamp-1">Scale Stage</div><div class="styles_tooltip-text__bYBqF">Rapidly increasing operations</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg fill="none" height="12" viewBox="0 0 12 12" width="12" xmlns="http://www.w3.org/2000/svg" class="haloIcon"><path d="M8.35 4C8.25048 3.71762 8.06872 3.47148 7.82814 3.29327C7.58755 3.11505 7.29913 3.01292 7 3H5C4.60218 3 4.22064 3.15804 3.93934 3.43934C3.65804 3.72064 3.5 4.10218 3.5 4.5C3.5 4.89782 3.65804 5.27936 3.93934 5.56066C4.22064 5.84196 4.60218 6 5 6H7C7.39782 6 7.77936 6.15804 8.06066 6.43934C8.34196 6.72064 8.5 7.10218 8.5 7.5C8.5 7.89782 8.34196 8.27936 8.06066 8.56066C7.77936 8.84196 7.39782 9 7 9H5C4.70087 8.98708 4.41245 8.88495 4.17186 8.70673C3.93128 8.52852 3.74952 8.28238 3.65 8M6 1.5V3M6 9V10.5" stroke="black" stroke-linecap="round" stroke-linejoin="round"></path></svg><div class="line-clamp-1">Top Investors</div><div class="styles_tooltip-text__bYBqF">This company has received a significant amount of investment from top investors</div></div></li><li class="inline-flex h-[20px] w-auto max-w-max place-items-center rounded bg-neutral-200 px-1 text-[10px] font-medium text-neutral-800">+3</li></ul></div></div><div class="mb-4 w-full px-4"><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/3119897-lead-software-engineer">Lead Software Engineer</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">Boston • Washington DC<span class="ml-1 inline-flex h-4 items-center rounded border border-neutral-200 bg-neutral-50 px-1 text-xs text-neutral-500">+4</span></span></div></div><span class="text-xs lowercase text-dark-a md:hidden">1 month ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">1 month ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 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Engineer</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">Remote • Boston<span class="ml-1 inline-flex h-4 items-center rounded border border-neutral-200 bg-neutral-50 px-1 text-xs text-neutral-500">+4</span></span></div></div><span class="text-xs lowercase text-dark-a md:hidden">1 year ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">1 year ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 hover:border-gtmblue-500" data-test="JobApplicationApplyButton" type="button">Apply</button></div></div></div><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/2697986-principal-machine-learning-engineer">Principal Machine Learning Engineer</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">Boston • Washington DC<span class="ml-1 inline-flex h-4 items-center rounded border border-neutral-200 bg-neutral-50 px-1 text-xs text-neutral-500">+3</span></span></div></div><span class="text-xs lowercase text-dark-a md:hidden">1 year ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">1 year ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 hover:border-gtmblue-500" data-test="JobApplicationApplyButton" type="button">Apply</button></div></div></div></div></div><div class="mb-6 w-full rounded border border-gray-400 bg-white"><div class="w-full space-y-2 px-4 pb-2 pt-4"><div class="flex-col"><div class="flex w-full"><a class="content-center" href="/company/overjet-1"><div class="flex h-14 w-14 justify-center overflow-hidden rounded-2xl border border-gray-400 bg-gray-100"><img alt="Overjet company logo" loading="lazy" src="/cdn-cgi/image/width=112,height=112,fit=scale-down,gravity=0.5x0.5,quality=90,format=auto/https://photos.wellfound.com/startups/i/6338831-2c39c8631b5b692d18d770b12fa75694-medium_jpg.jpg?buster=1660834508" height="56" width="56" class="rounded-2xl object-contain"/></div></a><div class="pl-2 flex flex-col"><div class="flex space-x-2"><a class="text-neutral-1000 hover:underline focus:no-underline" href="/company/overjet-1"><h2 class="inline text-md font-semibold">Overjet </h2></a><div class="flex items-center text-sm font-medium text-pop-green"><div class="mr-1 h-2 w-2 rounded-2xl bg-pop-green"></div>Actively Hiring</div></div><span class="text-xs text-neutral-1000">Transforming Dentistry using Artificial Intelligence</span><span class="text-xs italic text-neutral-500">51-200 Employees</span></div></div></div><div class="flex w-full space-x-2 text-[10px] text-accent-persian-600"><ul class="grid w-full grid-cols-2 justify-start gap-2 sm:place-items-center xs:flex xs:flex-row xs:flex-wrap"><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><div class="line-clamp-1">B2B</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg fill="none" height="12" viewBox="0 0 12 12" width="12" xmlns="http://www.w3.org/2000/svg" class="haloIcon"><path d="M6 6H4.5C3.70435 6 2.94129 5.68393 2.37868 5.12132C1.81607 4.55871 1.5 3.79565 1.5 3V2H3C3.79565 2 4.55871 2.31607 5.12132 2.87868C5.68393 3.44129 6 4.20435 6 5V10M6 7C6 6.20435 6.31607 5.44129 6.87868 4.87868C7.44129 4.31607 8.20435 4 9 4H10.5V4.5C10.5 5.29565 10.1839 6.05871 9.62132 6.62132C9.05871 7.18393 8.29565 7.5 7.5 7.5H6" stroke="black" stroke-linecap="round" stroke-linejoin="round"></path></svg><div class="line-clamp-1">Growth Stage</div><div class="styles_tooltip-text__bYBqF">Expanding market presence</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg fill="none" height="12" viewBox="0 0 12 12" width="12" xmlns="http://www.w3.org/2000/svg" class="haloIcon"><path d="M8.35 4C8.25048 3.71762 8.06872 3.47148 7.82814 3.29327C7.58755 3.11505 7.29913 3.01292 7 3H5C4.60218 3 4.22064 3.15804 3.93934 3.43934C3.65804 3.72064 3.5 4.10218 3.5 4.5C3.5 4.89782 3.65804 5.27936 3.93934 5.56066C4.22064 5.84196 4.60218 6 5 6H7C7.39782 6 7.77936 6.15804 8.06066 6.43934C8.34196 6.72064 8.5 7.10218 8.5 7.5C8.5 7.89782 8.34196 8.27936 8.06066 8.56066C7.77936 8.84196 7.39782 9 7 9H5C4.70087 8.98708 4.41245 8.88495 4.17186 8.70673C3.93128 8.52852 3.74952 8.28238 3.65 8M6 1.5V3M6 9V10.5" stroke="black" stroke-linecap="round" stroke-linejoin="round"></path></svg><div class="line-clamp-1">Top Investors</div><div class="styles_tooltip-text__bYBqF">This company has received a significant amount of investment from top investors</div></div></li><li class="inline-flex h-[20px] w-auto max-w-max place-items-center rounded bg-neutral-200 px-1 text-[10px] font-medium text-neutral-800">+1</li></ul></div></div><div class="mb-4 w-full px-4"><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/3132581-staff-software-engineer-data-platform">Staff Software Engineer, Data Platform</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">Boston • New York City<span class="ml-1 inline-flex h-4 items-center rounded border border-neutral-200 bg-neutral-50 px-1 text-xs text-neutral-500">+1</span></span></div></div><span class="text-xs lowercase text-dark-a md:hidden">1 month ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">1 month ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 hover:border-gtmblue-500" data-test="JobApplicationApplyButton" type="button">Apply</button></div></div></div><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/3117269-support-engineer">Support Engineer</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">Remote • Boston<span class="ml-1 inline-flex h-4 items-center rounded border border-neutral-200 bg-neutral-50 px-1 text-xs text-neutral-500">+3</span></span></div></div><span class="text-xs lowercase text-dark-a md:hidden">1 month ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">1 month ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 hover:border-gtmblue-500" data-test="JobApplicationApplyButton" type="button">Apply</button></div></div></div><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/3095684-senior-machine-learning-engineer">Senior Machine Learning Engineer</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">Boston • New York City<span class="ml-1 inline-flex h-4 items-center rounded border border-neutral-200 bg-neutral-50 px-1 text-xs text-neutral-500">+2</span></span></div></div><span class="text-xs lowercase text-dark-a md:hidden">2 months ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">2 months ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 hover:border-gtmblue-500" data-test="JobApplicationApplyButton" type="button">Apply</button></div></div></div></div></div><div class="mb-6 w-full rounded border border-gray-400 bg-white"><div class="w-full space-y-2 px-4 pb-2 pt-4"><div class="flex-col"><div class="flex w-full"><a class="content-center" href="/company/doordash"><div class="flex h-14 w-14 justify-center overflow-hidden rounded-2xl border border-gray-400 bg-gray-100"><img alt="DoorDash company logo" loading="lazy" src="/cdn-cgi/image/width=112,height=112,fit=scale-down,gravity=0.5x0.5,quality=90,format=auto/https://photos.wellfound.com/startups/i/271485-0323baf5a3b7d6dc76ab970febe7bcbf-medium_jpg.jpg?buster=1589507555" height="56" width="56" class="rounded-2xl object-contain"/></div></a><div class="pl-2 flex flex-col"><div class="flex space-x-2"><a class="text-neutral-1000 hover:underline focus:no-underline" href="/company/doordash"><h2 class="inline text-md font-semibold">DoorDash</h2></a></div><span class="text-xs text-neutral-1000">Your favorite restaurants, delivered</span><span class="text-xs italic text-neutral-500">1001-5000 Employees</span></div></div></div><div class="flex w-full space-x-2 text-[10px] text-accent-persian-600"><ul class="grid w-full grid-cols-2 justify-start gap-2 sm:place-items-center xs:flex xs:flex-row xs:flex-wrap"><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><div class="line-clamp-1">B2C</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg fill="none" height="12" viewBox="0 0 12 12" width="12" xmlns="http://www.w3.org/2000/svg" class="haloIcon"><path d="M6 6.5L5 5.5M6 6L7 5M6 10.5V4M4.9121 8.00022C4.69333 7.98741 4.48003 7.92682 4.2872 7.82272C4.09437 7.71862 3.92668 7.57353 3.79595 7.39766C3.66521 7.22179 3.5746 7.01941 3.53048 6.80476C3.48637 6.5901 3.48982 6.36839 3.5406 6.15522C3.35933 6.00427 3.21622 5.81269 3.12289 5.59606C3.02956 5.37942 2.98864 5.14382 3.00345 4.9084C3.01826 4.67298 3.08838 4.44437 3.20812 4.24113C3.32786 4.0379 3.49385 3.86577 3.6926 3.73872C3.51828 3.42905 3.45957 3.06754 3.52693 2.71862C3.59428 2.3697 3.78333 2.05603 4.06038 1.83348C4.33743 1.61094 4.68449 1.49399 5.03973 1.50346C5.39497 1.51294 5.7353 1.64822 6.0001 1.88522C6.26495 1.6486 6.60517 1.51363 6.96021 1.50434C7.31525 1.49505 7.66206 1.61204 7.93893 1.83448C8.2158 2.05693 8.40476 2.37039 8.47218 2.71909C8.53959 3.06779 8.4811 3.4291 8.3071 3.73872C8.50588 3.86572 8.67191 4.03782 8.79169 4.24103C8.91148 4.44425 8.98165 4.67285 8.99651 4.90827C9.01137 5.1437 8.97049 5.3793 8.8772 5.59596C8.78391 5.81263 8.64084 6.00423 8.4596 6.15522C8.51208 6.37561 8.51396 6.60504 8.46509 6.82627C8.41622 7.04749 8.31788 7.25478 8.17743 7.43256C8.03699 7.61033 7.8581 7.75399 7.65419 7.85274C7.45029 7.95149 7.22666 8.00276 7.0001 8.00272H5.0001L4.9121 8.00022Z" stroke="black" stroke-linecap="round" stroke-linejoin="round"></path></svg><div class="line-clamp-1">Public Stage</div><div class="styles_tooltip-text__bYBqF">Publicly traded company</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg fill="none" height="12" viewBox="0 0 12 12" width="12" xmlns="http://www.w3.org/2000/svg" class="haloIcon"><path d="M8.35 4C8.25048 3.71762 8.06872 3.47148 7.82814 3.29327C7.58755 3.11505 7.29913 3.01292 7 3H5C4.60218 3 4.22064 3.15804 3.93934 3.43934C3.65804 3.72064 3.5 4.10218 3.5 4.5C3.5 4.89782 3.65804 5.27936 3.93934 5.56066C4.22064 5.84196 4.60218 6 5 6H7C7.39782 6 7.77936 6.15804 8.06066 6.43934C8.34196 6.72064 8.5 7.10218 8.5 7.5C8.5 7.89782 8.34196 8.27936 8.06066 8.56066C7.77936 8.84196 7.39782 9 7 9H5C4.70087 8.98708 4.41245 8.88495 4.17186 8.70673C3.93128 8.52852 3.74952 8.28238 3.65 8M6 1.5V3M6 9V10.5" stroke="black" stroke-linecap="round" stroke-linejoin="round"></path></svg><div class="line-clamp-1">Top Investors</div><div class="styles_tooltip-text__bYBqF">This company has received a significant amount of investment from top investors</div></div></li><li class="inline-flex h-[20px] w-auto max-w-max place-items-center rounded bg-neutral-200 px-1 text-[10px] font-medium text-neutral-800">+1</li></ul></div></div><div class="mb-4 w-full px-4"><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/2983187-machine-learning-engineer-lead-merchant">Machine Learning Engineer Lead - Merchant</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 20 20" width="14" xmlns="http://www.w3.org/2000/svg" class="sm:h-5 sm:w-5"><path d="M12.3333 7.49998C12.1824 7.23811 11.963 7.02223 11.6988 6.87544C11.4346 6.72865 11.1354 6.65647 10.8333 6.66664H9.16667C8.72464 6.66664 8.30072 6.84224 7.98816 7.1548C7.67559 7.46736 7.5 7.89128 7.5 8.33331C7.5 8.77534 7.67559 9.19926 7.98816 9.51182C8.30072 9.82438 8.72464 9.99998 9.16667 9.99998H10.8333C11.2754 9.99998 11.6993 10.1756 12.0118 10.4881C12.3244 10.8007 12.5 11.2246 12.5 11.6666C12.5 12.1087 12.3244 12.5326 12.0118 12.8452C11.6993 13.1577 11.2754 13.3333 10.8333 13.3333H9.16667C8.86458 13.3435 8.56541 13.2713 8.30118 13.1245C8.03696 12.9777 7.81763 12.7618 7.66667 12.5M10 5.83333V14.1667M2.5 10C2.5 10.9849 2.69399 11.9602 3.0709 12.8701C3.44781 13.7801 4.00026 14.6069 4.6967 15.3033C5.39314 15.9997 6.21993 16.5522 7.12987 16.9291C8.03982 17.306 9.01509 17.5 10 17.5C10.9849 17.5 11.9602 17.306 12.8701 16.9291C13.7801 16.5522 14.6069 15.9997 15.3033 15.3033C15.9997 14.6069 16.5522 13.7801 16.9291 12.8701C17.306 11.9602 17.5 10.9849 17.5 10C17.5 9.01509 17.306 8.03982 16.9291 7.12987C16.5522 6.21993 15.9997 5.39314 15.3033 4.6967C14.6069 4.00026 13.7801 3.44781 12.8701 3.0709C11.9602 2.69399 10.9849 2.5 10 2.5C9.01509 2.5 8.03982 2.69399 7.12987 3.0709C6.21993 3.44781 5.39314 4.00026 4.6967 4.6967C4.00026 5.39314 3.44781 6.21993 3.0709 7.12987C2.69399 8.03982 2.5 9.01509 2.5 10Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">$202k – $303k</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">New York City • Seattle<span class="ml-1 inline-flex h-4 items-center rounded border border-neutral-200 bg-neutral-50 px-1 text-xs text-neutral-500">+2</span></span></div></div><span class="text-xs lowercase text-dark-a md:hidden">7 months ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">7 months ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 hover:border-gtmblue-500" data-test="JobApplicationApplyButton" type="button">Apply</button></div></div></div><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/2905313-applied-machine-learning-engineer-causal-inference-recommendation">Applied Machine Learning Engineer - Causal Inference Recommendation</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 20 20" width="14" xmlns="http://www.w3.org/2000/svg" class="sm:h-5 sm:w-5"><path d="M12.3333 7.49998C12.1824 7.23811 11.963 7.02223 11.6988 6.87544C11.4346 6.72865 11.1354 6.65647 10.8333 6.66664H9.16667C8.72464 6.66664 8.30072 6.84224 7.98816 7.1548C7.67559 7.46736 7.5 7.89128 7.5 8.33331C7.5 8.77534 7.67559 9.19926 7.98816 9.51182C8.30072 9.82438 8.72464 9.99998 9.16667 9.99998H10.8333C11.2754 9.99998 11.6993 10.1756 12.0118 10.4881C12.3244 10.8007 12.5 11.2246 12.5 11.6666C12.5 12.1087 12.3244 12.5326 12.0118 12.8452C11.6993 13.1577 11.2754 13.3333 10.8333 13.3333H9.16667C8.86458 13.3435 8.56541 13.2713 8.30118 13.1245C8.03696 12.9777 7.81763 12.7618 7.66667 12.5M10 5.83333V14.1667M2.5 10C2.5 10.9849 2.69399 11.9602 3.0709 12.8701C3.44781 13.7801 4.00026 14.6069 4.6967 15.3033C5.39314 15.9997 6.21993 16.5522 7.12987 16.9291C8.03982 17.306 9.01509 17.5 10 17.5C10.9849 17.5 11.9602 17.306 12.8701 16.9291C13.7801 16.5522 14.6069 15.9997 15.3033 15.3033C15.9997 14.6069 16.5522 13.7801 16.9291 12.8701C17.306 11.9602 17.5 10.9849 17.5 10C17.5 9.01509 17.306 8.03982 16.9291 7.12987C16.5522 6.21993 15.9997 5.39314 15.3033 4.6967C14.6069 4.00026 13.7801 3.44781 12.8701 3.0709C11.9602 2.69399 10.9849 2.5 10 2.5C9.01509 2.5 8.03982 2.69399 7.12987 3.0709C6.21993 3.44781 5.39314 4.00026 4.6967 4.6967C4.00026 5.39314 3.44781 6.21993 3.0709 7.12987C2.69399 8.03982 2.5 9.01509 2.5 10Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">$140k – $210k</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">New York City • Seattle<span class="ml-1 inline-flex h-4 items-center rounded border border-neutral-200 bg-neutral-50 px-1 text-xs text-neutral-500">+2</span></span></div></div><span class="text-xs lowercase text-dark-a md:hidden">10 months ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">10 months ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 hover:border-gtmblue-500" data-test="JobApplicationApplyButton" type="button">Apply</button></div></div></div><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/2903746-machine-learning-engineer-new-verticals">Machine Learning Engineer - New Verticals</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 20 20" width="14" xmlns="http://www.w3.org/2000/svg" class="sm:h-5 sm:w-5"><path d="M12.3333 7.49998C12.1824 7.23811 11.963 7.02223 11.6988 6.87544C11.4346 6.72865 11.1354 6.65647 10.8333 6.66664H9.16667C8.72464 6.66664 8.30072 6.84224 7.98816 7.1548C7.67559 7.46736 7.5 7.89128 7.5 8.33331C7.5 8.77534 7.67559 9.19926 7.98816 9.51182C8.30072 9.82438 8.72464 9.99998 9.16667 9.99998H10.8333C11.2754 9.99998 11.6993 10.1756 12.0118 10.4881C12.3244 10.8007 12.5 11.2246 12.5 11.6666C12.5 12.1087 12.3244 12.5326 12.0118 12.8452C11.6993 13.1577 11.2754 13.3333 10.8333 13.3333H9.16667C8.86458 13.3435 8.56541 13.2713 8.30118 13.1245C8.03696 12.9777 7.81763 12.7618 7.66667 12.5M10 5.83333V14.1667M2.5 10C2.5 10.9849 2.69399 11.9602 3.0709 12.8701C3.44781 13.7801 4.00026 14.6069 4.6967 15.3033C5.39314 15.9997 6.21993 16.5522 7.12987 16.9291C8.03982 17.306 9.01509 17.5 10 17.5C10.9849 17.5 11.9602 17.306 12.8701 16.9291C13.7801 16.5522 14.6069 15.9997 15.3033 15.3033C15.9997 14.6069 16.5522 13.7801 16.9291 12.8701C17.306 11.9602 17.5 10.9849 17.5 10C17.5 9.01509 17.306 8.03982 16.9291 7.12987C16.5522 6.21993 15.9997 5.39314 15.3033 4.6967C14.6069 4.00026 13.7801 3.44781 12.8701 3.0709C11.9602 2.69399 10.9849 2.5 10 2.5C9.01509 2.5 8.03982 2.69399 7.12987 3.0709C6.21993 3.44781 5.39314 4.00026 4.6967 4.6967C4.00026 5.39314 3.44781 6.21993 3.0709 7.12987C2.69399 8.03982 2.5 9.01509 2.5 10Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">$140k – $210k</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">Los Angeles • New York City<span class="ml-1 inline-flex h-4 items-center rounded border border-neutral-200 bg-neutral-50 px-1 text-xs text-neutral-500">+3</span></span></div></div><span class="text-xs lowercase text-dark-a md:hidden">10 months ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">10 months ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 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class="inline text-md font-semibold">Argo Labs</h2></a></div><span class="text-xs text-neutral-1000">Conversational AI Agents for Restaurants</span><span class="text-xs italic text-neutral-500">1-10 Employees</span></div></div></div><div class="flex w-full space-x-2 text-[10px] text-accent-persian-600"><ul class="grid w-full grid-cols-2 justify-start gap-2 sm:place-items-center xs:flex xs:flex-row xs:flex-wrap"><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg fill="none" height="12" viewBox="0 0 12 12" width="12" xmlns="http://www.w3.org/2000/svg" class="haloIcon"><path d="M4.5 10.5H7.5M4.5 9H7.5M4.49992 5.99999H2.70692C2.60805 5.99996 2.5114 5.97063 2.4292 5.91569C2.34699 5.86074 2.28292 5.78266 2.24509 5.69131C2.20725 5.59996 2.19735 5.49945 2.21663 5.40247C2.23592 5.30549 2.28352 5.21641 2.35342 5.14649L5.64642 1.85349C5.74019 1.75975 5.86734 1.70709 5.99992 1.70709C6.13251 1.70709 6.25966 1.75975 6.35342 1.85349L9.64642 5.14649C9.71633 5.21641 9.76393 5.30549 9.78322 5.40247C9.8025 5.49945 9.7926 5.59996 9.75476 5.69131C9.71693 5.78266 9.65286 5.86074 9.57065 5.91569C9.48845 5.97063 9.3918 5.99996 9.29292 5.99999H7.49992V7.49999H4.49992V5.99999Z" stroke="black" stroke-linecap="round" stroke-linejoin="round"></path></svg><div class="line-clamp-1">Top 10% of responders</div><div class="styles_tooltip-text__bYBqF">Argo Labs is in the top 10% of companies in terms of response time to applications</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg class="haloIcon" fill="none" height="12" viewBox="0 0 51 46" width="12" xmlns="http://www.w3.org/2000/svg"><path d="M5.16732 23.0826C5.16732 24.1872 6.06275 25.0826 7.16732 25.0826C8.27189 25.0826 9.16732 24.1872 9.16732 23.0826H5.16732ZM27.7923 41.7076C26.6877 41.7076 25.7923 42.6031 25.7923 43.7076C25.7923 44.8122 26.6877 45.7076 27.7923 45.7076V41.7076ZM48.4173 23.0826H46.4173H48.4173ZM27.7923 2.45764V0.457642V2.45764ZM27.7923 23.0826H25.7923C25.7923 23.7513 26.1265 24.3758 26.6829 24.7467L27.7923 23.0826ZM33.5579 29.3301C34.477 29.9428 35.7187 29.6944 36.3314 28.7754C36.9441 27.8563 36.6958 26.6146 35.7767 26.0019L33.5579 29.3301ZM29.7923 11.6243C29.7923 10.5197 28.8969 9.62431 27.7923 9.62431C26.6877 9.62431 25.7923 10.5197 25.7923 11.6243H29.7923ZM2.58398 27.9576C1.47942 27.9576 0.583985 28.8531 0.583984 29.9576C0.583984 31.0622 1.47941 31.9576 2.58398 31.9576L2.58398 27.9576ZM20.9173 31.9576C22.0219 31.9576 22.9173 31.0622 22.9173 29.9576C22.9173 28.8531 22.0219 27.9576 20.9173 27.9576V31.9576ZM7.16732 34.8326C6.06275 34.8326 5.16732 35.7281 5.16732 36.8326C5.16732 37.9372 6.06275 38.8326 7.16732 38.8326V34.8326ZM20.9173 38.8326C22.0219 38.8326 22.9173 37.9372 22.9173 36.8326C22.9173 35.7281 22.0219 34.8326 20.9173 34.8326V38.8326ZM14.0423 41.7076C12.9377 41.7076 12.0423 42.6031 12.0423 43.7076C12.0423 44.8122 12.9377 45.7076 14.0423 45.7076V41.7076ZM20.9173 45.7076C22.0219 45.7076 22.9173 44.8122 22.9173 43.7076C22.9173 42.6031 22.0219 41.7076 20.9173 41.7076V45.7076ZM27.7923 45.7076C30.7635 45.7076 33.7055 45.1224 36.4505 43.9854L34.9198 40.2899C32.6601 41.2259 30.2382 41.7076 27.7923 41.7076V45.7076ZM36.4505 43.9854C39.1955 42.8484 41.6897 41.1819 43.7906 39.0809L40.9622 36.2525C39.2327 37.982 37.1795 39.3539 34.9198 40.2899L36.4505 43.9854ZM43.7906 39.0809C45.8915 36.98 47.5581 34.4858 48.6951 31.7409L44.9996 30.2101C44.0636 32.4698 42.6917 34.523 40.9622 36.2525L43.7906 39.0809ZM48.6951 31.7409C49.8321 28.9959 50.4173 26.0538 50.4173 23.0826H46.4173C46.4173 25.5285 45.9356 27.9504 44.9996 30.2101L48.6951 31.7409ZM50.4173 23.0826C50.4173 20.1115 49.8321 17.1694 48.6951 14.4244L44.9996 15.9552C45.9356 18.2149 46.4173 20.6368 46.4173 23.0826H50.4173ZM48.6951 14.4244C47.5581 11.6794 45.8915 9.18528 43.7906 7.08435L40.9622 9.91278C42.6917 11.6423 44.0636 13.6955 44.9996 15.9552L48.6951 14.4244ZM43.7906 7.08435C41.6897 4.98342 39.1955 3.31688 36.4505 2.17987L34.9198 5.87539C37.1795 6.81138 39.2327 8.18329 40.9622 9.91278L43.7906 7.08435ZM36.4505 2.17987C33.7055 1.04286 30.7635 0.457642 27.7923 0.457642V4.45764C30.2382 4.45764 32.6601 4.93939 34.9198 5.87539L36.4505 2.17987ZM27.7923 0.457642C24.8212 0.457642 21.8791 1.04286 19.1341 2.17987L20.6648 5.87539C22.9245 4.93939 25.3464 4.45764 27.7923 4.45764V0.457642ZM19.1341 2.17987C16.3891 3.31688 13.895 4.98342 11.794 7.08435L14.6225 9.91278C16.3519 8.18329 18.4051 6.81138 20.6648 5.87539L19.1341 2.17987ZM11.794 7.08435C9.6931 9.18528 8.02656 11.6794 6.88954 14.4244L10.5851 15.9552C11.5211 13.6955 12.893 11.6423 14.6225 9.91278L11.794 7.08435ZM6.88954 14.4244C5.75253 17.1694 5.16732 20.1115 5.16732 23.0826H9.16732C9.16732 20.6368 9.64907 18.2149 10.5851 15.9552L6.88954 14.4244ZM26.6829 24.7467L33.5579 29.3301L35.7767 26.0019L28.9017 21.4185L26.6829 24.7467ZM25.7923 11.6243V23.0826H29.7923V11.6243H25.7923ZM2.58398 31.9576L20.9173 31.9576V27.9576L2.58398 27.9576L2.58398 31.9576ZM7.16732 38.8326H20.9173V34.8326H7.16732V38.8326ZM14.0423 45.7076H20.9173V41.7076H14.0423V45.7076Z" fill="black"></path></svg><div class="line-clamp-1">Responds within three weeks</div><div class="styles_tooltip-text__bYBqF">Based on past data, Argo Labs usually responds to incoming applications within three weeks</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><div class="line-clamp-1">B2B</div></div></li><li class="inline-flex h-[20px] w-auto max-w-max place-items-center rounded bg-neutral-200 px-1 text-[10px] font-medium text-neutral-800">+1</li></ul></div></div><div class="mb-4 w-full px-4"><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/3072337-senior-machine-learning-engineer-applied-ai">Senior Machine Learning Engineer, Applied AI</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 20 20" width="14" xmlns="http://www.w3.org/2000/svg" class="sm:h-5 sm:w-5"><path d="M12.3333 7.49998C12.1824 7.23811 11.963 7.02223 11.6988 6.87544C11.4346 6.72865 11.1354 6.65647 10.8333 6.66664H9.16667C8.72464 6.66664 8.30072 6.84224 7.98816 7.1548C7.67559 7.46736 7.5 7.89128 7.5 8.33331C7.5 8.77534 7.67559 9.19926 7.98816 9.51182C8.30072 9.82438 8.72464 9.99998 9.16667 9.99998H10.8333C11.2754 9.99998 11.6993 10.1756 12.0118 10.4881C12.3244 10.8007 12.5 11.2246 12.5 11.6666C12.5 12.1087 12.3244 12.5326 12.0118 12.8452C11.6993 13.1577 11.2754 13.3333 10.8333 13.3333H9.16667C8.86458 13.3435 8.56541 13.2713 8.30118 13.1245C8.03696 12.9777 7.81763 12.7618 7.66667 12.5M10 5.83333V14.1667M2.5 10C2.5 10.9849 2.69399 11.9602 3.0709 12.8701C3.44781 13.7801 4.00026 14.6069 4.6967 15.3033C5.39314 15.9997 6.21993 16.5522 7.12987 16.9291C8.03982 17.306 9.01509 17.5 10 17.5C10.9849 17.5 11.9602 17.306 12.8701 16.9291C13.7801 16.5522 14.6069 15.9997 15.3033 15.3033C15.9997 14.6069 16.5522 13.7801 16.9291 12.8701C17.306 11.9602 17.5 10.9849 17.5 10C17.5 9.01509 17.306 8.03982 16.9291 7.12987C16.5522 6.21993 15.9997 5.39314 15.3033 4.6967C14.6069 4.00026 13.7801 3.44781 12.8701 3.0709C11.9602 2.69399 10.9849 2.5 10 2.5C9.01509 2.5 8.03982 2.69399 7.12987 3.0709C6.21993 3.44781 5.39314 4.00026 4.6967 4.6967C4.00026 5.39314 3.44781 6.21993 3.0709 7.12987C2.69399 8.03982 2.5 9.01509 2.5 10Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">$160k – $320k</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">New York</span></div></div><span class="text-xs lowercase text-dark-a md:hidden">3 months ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">3 months ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 hover:border-gtmblue-500" data-test="JobApplicationApplyButton" type="button">Apply</button></div></div></div><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/3072336-machine-learning-engineer-applied-ai">Machine Learning Engineer, Applied AI</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 20 20" width="14" xmlns="http://www.w3.org/2000/svg" class="sm:h-5 sm:w-5"><path d="M12.3333 7.49998C12.1824 7.23811 11.963 7.02223 11.6988 6.87544C11.4346 6.72865 11.1354 6.65647 10.8333 6.66664H9.16667C8.72464 6.66664 8.30072 6.84224 7.98816 7.1548C7.67559 7.46736 7.5 7.89128 7.5 8.33331C7.5 8.77534 7.67559 9.19926 7.98816 9.51182C8.30072 9.82438 8.72464 9.99998 9.16667 9.99998H10.8333C11.2754 9.99998 11.6993 10.1756 12.0118 10.4881C12.3244 10.8007 12.5 11.2246 12.5 11.6666C12.5 12.1087 12.3244 12.5326 12.0118 12.8452C11.6993 13.1577 11.2754 13.3333 10.8333 13.3333H9.16667C8.86458 13.3435 8.56541 13.2713 8.30118 13.1245C8.03696 12.9777 7.81763 12.7618 7.66667 12.5M10 5.83333V14.1667M2.5 10C2.5 10.9849 2.69399 11.9602 3.0709 12.8701C3.44781 13.7801 4.00026 14.6069 4.6967 15.3033C5.39314 15.9997 6.21993 16.5522 7.12987 16.9291C8.03982 17.306 9.01509 17.5 10 17.5C10.9849 17.5 11.9602 17.306 12.8701 16.9291C13.7801 16.5522 14.6069 15.9997 15.3033 15.3033C15.9997 14.6069 16.5522 13.7801 16.9291 12.8701C17.306 11.9602 17.5 10.9849 17.5 10C17.5 9.01509 17.306 8.03982 16.9291 7.12987C16.5522 6.21993 15.9997 5.39314 15.3033 4.6967C14.6069 4.00026 13.7801 3.44781 12.8701 3.0709C11.9602 2.69399 10.9849 2.5 10 2.5C9.01509 2.5 8.03982 2.69399 7.12987 3.0709C6.21993 3.44781 5.39314 4.00026 4.6967 4.6967C4.00026 5.39314 3.44781 6.21993 3.0709 7.12987C2.69399 8.03982 2.5 9.01509 2.5 10Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">$100k – $180k</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">New York</span></div></div><span class="text-xs lowercase text-dark-a md:hidden">3 months ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">3 months ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 hover:border-gtmblue-500" data-test="JobApplicationApplyButton" type="button">Apply</button></div></div></div></div></div><div class="mb-6 w-full rounded border border-gray-400 bg-white"><div class="w-full space-y-2 px-4 pb-2 pt-4"><div class="flex-col"><div class="flex w-full"><a class="content-center" href="/company/angi-home"><div class="flex h-14 w-14 justify-center overflow-hidden rounded-2xl border border-gray-400 bg-gray-100"><img alt="Angi company logo" loading="lazy" src="/cdn-cgi/image/width=112,height=112,fit=scale-down,gravity=0.5x0.5,quality=90,format=auto/https://photos.wellfound.com/startups/i/161962-9b10857eda34db953f5973885b2633a5-medium_jpg.jpg?buster=1710773715" height="56" width="56" class="rounded-2xl object-contain"/></div></a><div class="pl-2 flex flex-col"><div class="flex space-x-2"><a class="text-neutral-1000 hover:underline focus:no-underline" href="/company/angi-home"><h2 class="inline text-md font-semibold">Angi</h2></a><div class="flex items-center text-sm font-medium text-pop-green"><div class="mr-1 h-2 w-2 rounded-2xl bg-pop-green"></div>Actively Hiring</div></div><span class="text-xs text-neutral-1000">We’re on a mission to help everyone love where they live</span><span class="text-xs italic text-neutral-500">1001-5000 Employees</span></div></div></div></div><div class="mb-4 w-full px-4"><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/3135882-staff-machine-learning-engineer">Staff Machine Learning Engineer</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">Remote • New York</span></div></div><span class="text-xs lowercase text-dark-a md:hidden">4 weeks ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">4 weeks ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 hover:border-gtmblue-500" data-test="JobApplicationApplyButton" type="button">Apply</button></div></div></div></div></div><div class="mb-6 w-full rounded border border-gray-400 bg-white"><div class="w-full space-y-2 px-4 pb-2 pt-4"><div class="flex-col"><div class="flex w-full"><a class="content-center" href="/company/fanduel"><div class="flex h-14 w-14 justify-center overflow-hidden rounded-2xl border border-gray-400 bg-gray-100"><img alt="FanDuel company logo" loading="lazy" src="/cdn-cgi/image/width=112,height=112,fit=scale-down,gravity=0.5x0.5,quality=90,format=auto/https://photos.wellfound.com/startups/i/32171-65005ea7603afbb5bcab405e0753b755-medium_jpg.jpg?buster=1686194878" height="56" width="56" class="rounded-2xl object-contain"/></div></a><div class="pl-2 flex flex-col"><div class="flex space-x-2"><a class="text-neutral-1000 hover:underline focus:no-underline" href="/company/fanduel"><h2 class="inline text-md font-semibold">FanDuel</h2></a><div class="flex items-center text-sm font-medium text-pop-green"><div class="mr-1 h-2 w-2 rounded-2xl bg-pop-green"></div>Actively Hiring</div></div><span class="text-xs text-neutral-1000">FanDuel is America's #1 Sportsbook. We make every moment more</span><span class="text-xs italic text-neutral-500">201-500 Employees</span></div></div></div><div class="flex w-full space-x-2 text-[10px] text-accent-persian-600"><ul class="grid w-full grid-cols-2 justify-start gap-2 sm:place-items-center xs:flex xs:flex-row xs:flex-wrap"><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><div class="line-clamp-1">B2C</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg fill="none" height="12" viewBox="0 0 12 12" width="12" xmlns="http://www.w3.org/2000/svg" class="haloIcon"><path d="M6 9.5C4.67392 9.5 3.40215 8.97322 2.46447 8.03553C1.52678 7.09785 1 5.82608 1 4.5C1.65661 4.5 2.30679 4.62933 2.91342 4.8806C3.52005 5.13188 4.07124 5.50017 4.53553 5.96447C4.99983 6.42876 5.36812 6.97995 5.6194 7.58658C5.87067 8.19321 6 8.84339 6 9.5ZM6 9.5C7.32608 9.5 8.59785 8.97322 9.53553 8.03553C10.4732 7.09785 11 5.82608 11 4.5C9.67392 4.5 8.40215 5.02678 7.46447 5.96447C6.52678 6.90215 6 8.17392 6 9.5ZM7.495 5.75C7.52974 5.05424 7.41419 4.35916 7.15622 3.71206C6.89824 3.06496 6.50389 2.48103 6 2C5.49611 2.48103 5.10182 3.06496 4.84384 3.71206C4.58587 4.35916 4.47032 5.05424 4.50506 5.75" stroke="black" stroke-linecap="round" stroke-linejoin="round"></path></svg><div class="line-clamp-1">Scale Stage</div><div class="styles_tooltip-text__bYBqF">Rapidly increasing operations</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg fill="none" height="12" viewBox="0 0 12 12" width="12" xmlns="http://www.w3.org/2000/svg" class="haloIcon"><path d="M8.35 4C8.25048 3.71762 8.06872 3.47148 7.82814 3.29327C7.58755 3.11505 7.29913 3.01292 7 3H5C4.60218 3 4.22064 3.15804 3.93934 3.43934C3.65804 3.72064 3.5 4.10218 3.5 4.5C3.5 4.89782 3.65804 5.27936 3.93934 5.56066C4.22064 5.84196 4.60218 6 5 6H7C7.39782 6 7.77936 6.15804 8.06066 6.43934C8.34196 6.72064 8.5 7.10218 8.5 7.5C8.5 7.89782 8.34196 8.27936 8.06066 8.56066C7.77936 8.84196 7.39782 9 7 9H5C4.70087 8.98708 4.41245 8.88495 4.17186 8.70673C3.93128 8.52852 3.74952 8.28238 3.65 8M6 1.5V3M6 9V10.5" stroke="black" stroke-linecap="round" stroke-linejoin="round"></path></svg><div class="line-clamp-1">Valuation $1B+</div><div class="styles_tooltip-text__bYBqF">This company has a valuation of $1B or more</div></div></li><li class="inline-flex h-[20px] w-auto max-w-max place-items-center rounded bg-neutral-200 px-1 text-[10px] font-medium text-neutral-800">+1</li></ul></div></div><div class="mb-4 w-full px-4"><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/3145051-staff-machine-learning-engineer-ml-ai-platforms">Staff Machine Learning Engineer- ML/AI Platforms</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 20 20" width="14" xmlns="http://www.w3.org/2000/svg" class="sm:h-5 sm:w-5"><path d="M12.3333 7.49998C12.1824 7.23811 11.963 7.02223 11.6988 6.87544C11.4346 6.72865 11.1354 6.65647 10.8333 6.66664H9.16667C8.72464 6.66664 8.30072 6.84224 7.98816 7.1548C7.67559 7.46736 7.5 7.89128 7.5 8.33331C7.5 8.77534 7.67559 9.19926 7.98816 9.51182C8.30072 9.82438 8.72464 9.99998 9.16667 9.99998H10.8333C11.2754 9.99998 11.6993 10.1756 12.0118 10.4881C12.3244 10.8007 12.5 11.2246 12.5 11.6666C12.5 12.1087 12.3244 12.5326 12.0118 12.8452C11.6993 13.1577 11.2754 13.3333 10.8333 13.3333H9.16667C8.86458 13.3435 8.56541 13.2713 8.30118 13.1245C8.03696 12.9777 7.81763 12.7618 7.66667 12.5M10 5.83333V14.1667M2.5 10C2.5 10.9849 2.69399 11.9602 3.0709 12.8701C3.44781 13.7801 4.00026 14.6069 4.6967 15.3033C5.39314 15.9997 6.21993 16.5522 7.12987 16.9291C8.03982 17.306 9.01509 17.5 10 17.5C10.9849 17.5 11.9602 17.306 12.8701 16.9291C13.7801 16.5522 14.6069 15.9997 15.3033 15.3033C15.9997 14.6069 16.5522 13.7801 16.9291 12.8701C17.306 11.9602 17.5 10.9849 17.5 10C17.5 9.01509 17.306 8.03982 16.9291 7.12987C16.5522 6.21993 15.9997 5.39314 15.3033 4.6967C14.6069 4.00026 13.7801 3.44781 12.8701 3.0709C11.9602 2.69399 10.9849 2.5 10 2.5C9.01509 2.5 8.03982 2.69399 7.12987 3.0709C6.21993 3.44781 5.39314 4.00026 4.6967 4.6967C4.00026 5.39314 3.44781 6.21993 3.0709 7.12987C2.69399 8.03982 2.5 9.01509 2.5 10Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">$158k – $208k</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">New York</span></div></div><span class="text-xs lowercase text-dark-a md:hidden">2 weeks ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">2 weeks ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 hover:border-gtmblue-500" data-test="JobApplicationApplyButton" type="button">Apply</button></div></div></div><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/3125124-senior-software-engineer-quantitative">Senior Software Engineer, Quantitative</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 20 20" width="14" xmlns="http://www.w3.org/2000/svg" class="sm:h-5 sm:w-5"><path d="M12.3333 7.49998C12.1824 7.23811 11.963 7.02223 11.6988 6.87544C11.4346 6.72865 11.1354 6.65647 10.8333 6.66664H9.16667C8.72464 6.66664 8.30072 6.84224 7.98816 7.1548C7.67559 7.46736 7.5 7.89128 7.5 8.33331C7.5 8.77534 7.67559 9.19926 7.98816 9.51182C8.30072 9.82438 8.72464 9.99998 9.16667 9.99998H10.8333C11.2754 9.99998 11.6993 10.1756 12.0118 10.4881C12.3244 10.8007 12.5 11.2246 12.5 11.6666C12.5 12.1087 12.3244 12.5326 12.0118 12.8452C11.6993 13.1577 11.2754 13.3333 10.8333 13.3333H9.16667C8.86458 13.3435 8.56541 13.2713 8.30118 13.1245C8.03696 12.9777 7.81763 12.7618 7.66667 12.5M10 5.83333V14.1667M2.5 10C2.5 10.9849 2.69399 11.9602 3.0709 12.8701C3.44781 13.7801 4.00026 14.6069 4.6967 15.3033C5.39314 15.9997 6.21993 16.5522 7.12987 16.9291C8.03982 17.306 9.01509 17.5 10 17.5C10.9849 17.5 11.9602 17.306 12.8701 16.9291C13.7801 16.5522 14.6069 15.9997 15.3033 15.3033C15.9997 14.6069 16.5522 13.7801 16.9291 12.8701C17.306 11.9602 17.5 10.9849 17.5 10C17.5 9.01509 17.306 8.03982 16.9291 7.12987C16.5522 6.21993 15.9997 5.39314 15.3033 4.6967C14.6069 4.00026 13.7801 3.44781 12.8701 3.0709C11.9602 2.69399 10.9849 2.5 10 2.5C9.01509 2.5 8.03982 2.69399 7.12987 3.0709C6.21993 3.44781 5.39314 4.00026 4.6967 4.6967C4.00026 5.39314 3.44781 6.21993 3.0709 7.12987C2.69399 8.03982 2.5 9.01509 2.5 10Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">$126k – $175k</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">New York</span></div></div><span class="text-xs lowercase text-dark-a md:hidden">1 month ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">1 month ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 hover:border-gtmblue-500" data-test="JobApplicationApplyButton" type="button">Apply</button></div></div></div></div></div><div class="mb-6 w-full rounded border border-gray-400 bg-white"><div class="w-full space-y-2 px-4 pb-2 pt-4"><div class="flex-col"><div class="flex w-full"><a class="content-center" href="/company/faire-wholesale"><div class="flex h-14 w-14 justify-center overflow-hidden rounded-2xl border border-gray-400 bg-gray-100"><img alt="Faire company logo" loading="lazy" src="/cdn-cgi/image/width=112,height=112,fit=scale-down,gravity=0.5x0.5,quality=90,format=auto/https://photos.wellfound.com/startups/i/3712456-fab20ca02b4b0e87eff3965db8bafe02-medium_jpg.jpg?buster=1544036630" height="56" width="56" class="rounded-2xl object-contain"/></div></a><div class="pl-2 flex flex-col"><div class="flex space-x-2"><a class="text-neutral-1000 hover:underline focus:no-underline" href="/company/faire-wholesale"><h2 class="inline text-md font-semibold">Faire</h2></a><div class="flex items-center text-sm font-medium text-pop-green"><div class="mr-1 h-2 w-2 rounded-2xl bg-pop-green"></div>Actively Hiring</div></div><span class="text-xs text-neutral-1000">The future is local</span><span class="text-xs italic text-neutral-500">501-1000 Employees</span></div></div></div><div class="flex w-full space-x-2 text-[10px] text-accent-persian-600"><ul class="grid w-full grid-cols-2 justify-start gap-2 sm:place-items-center xs:flex xs:flex-row xs:flex-wrap"><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><div class="line-clamp-1">B2B</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg fill="none" height="12" viewBox="0 0 12 12" width="12" xmlns="http://www.w3.org/2000/svg" class="haloIcon"><path d="M6 9.5C4.67392 9.5 3.40215 8.97322 2.46447 8.03553C1.52678 7.09785 1 5.82608 1 4.5C1.65661 4.5 2.30679 4.62933 2.91342 4.8806C3.52005 5.13188 4.07124 5.50017 4.53553 5.96447C4.99983 6.42876 5.36812 6.97995 5.6194 7.58658C5.87067 8.19321 6 8.84339 6 9.5ZM6 9.5C7.32608 9.5 8.59785 8.97322 9.53553 8.03553C10.4732 7.09785 11 5.82608 11 4.5C9.67392 4.5 8.40215 5.02678 7.46447 5.96447C6.52678 6.90215 6 8.17392 6 9.5ZM7.495 5.75C7.52974 5.05424 7.41419 4.35916 7.15622 3.71206C6.89824 3.06496 6.50389 2.48103 6 2C5.49611 2.48103 5.10182 3.06496 4.84384 3.71206C4.58587 4.35916 4.47032 5.05424 4.50506 5.75" stroke="black" stroke-linecap="round" stroke-linejoin="round"></path></svg><div class="line-clamp-1">Scale Stage</div><div class="styles_tooltip-text__bYBqF">Rapidly increasing operations</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg fill="none" height="12" viewBox="0 0 12 12" width="12" xmlns="http://www.w3.org/2000/svg" class="haloIcon"><path d="M8.35 4C8.25048 3.71762 8.06872 3.47148 7.82814 3.29327C7.58755 3.11505 7.29913 3.01292 7 3H5C4.60218 3 4.22064 3.15804 3.93934 3.43934C3.65804 3.72064 3.5 4.10218 3.5 4.5C3.5 4.89782 3.65804 5.27936 3.93934 5.56066C4.22064 5.84196 4.60218 6 5 6H7C7.39782 6 7.77936 6.15804 8.06066 6.43934C8.34196 6.72064 8.5 7.10218 8.5 7.5C8.5 7.89782 8.34196 8.27936 8.06066 8.56066C7.77936 8.84196 7.39782 9 7 9H5C4.70087 8.98708 4.41245 8.88495 4.17186 8.70673C3.93128 8.52852 3.74952 8.28238 3.65 8M6 1.5V3M6 9V10.5" stroke="black" stroke-linecap="round" stroke-linejoin="round"></path></svg><div class="line-clamp-1">Top Investors</div><div class="styles_tooltip-text__bYBqF">This company has received a significant amount of investment from top investors</div></div></li><li class="inline-flex h-[20px] w-auto max-w-max place-items-center rounded bg-neutral-200 px-1 text-[10px] font-medium text-neutral-800">+2</li></ul></div></div><div class="mb-4 w-full px-4"><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/3082057-staff-data-scientist-machine-learning-engineer-search-personalization-ads">Staff Data Scientist / Machine Learning Engineer - Search, Personalization, Ads</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 20 20" width="14" xmlns="http://www.w3.org/2000/svg" class="sm:h-5 sm:w-5"><path d="M12.3333 7.49998C12.1824 7.23811 11.963 7.02223 11.6988 6.87544C11.4346 6.72865 11.1354 6.65647 10.8333 6.66664H9.16667C8.72464 6.66664 8.30072 6.84224 7.98816 7.1548C7.67559 7.46736 7.5 7.89128 7.5 8.33331C7.5 8.77534 7.67559 9.19926 7.98816 9.51182C8.30072 9.82438 8.72464 9.99998 9.16667 9.99998H10.8333C11.2754 9.99998 11.6993 10.1756 12.0118 10.4881C12.3244 10.8007 12.5 11.2246 12.5 11.6666C12.5 12.1087 12.3244 12.5326 12.0118 12.8452C11.6993 13.1577 11.2754 13.3333 10.8333 13.3333H9.16667C8.86458 13.3435 8.56541 13.2713 8.30118 13.1245C8.03696 12.9777 7.81763 12.7618 7.66667 12.5M10 5.83333V14.1667M2.5 10C2.5 10.9849 2.69399 11.9602 3.0709 12.8701C3.44781 13.7801 4.00026 14.6069 4.6967 15.3033C5.39314 15.9997 6.21993 16.5522 7.12987 16.9291C8.03982 17.306 9.01509 17.5 10 17.5C10.9849 17.5 11.9602 17.306 12.8701 16.9291C13.7801 16.5522 14.6069 15.9997 15.3033 15.3033C15.9997 14.6069 16.5522 13.7801 16.9291 12.8701C17.306 11.9602 17.5 10.9849 17.5 10C17.5 9.01509 17.306 8.03982 16.9291 7.12987C16.5522 6.21993 15.9997 5.39314 15.3033 4.6967C14.6069 4.00026 13.7801 3.44781 12.8701 3.0709C11.9602 2.69399 10.9849 2.5 10 2.5C9.01509 2.5 8.03982 2.69399 7.12987 3.0709C6.21993 3.44781 5.39314 4.00026 4.6967 4.6967C4.00026 5.39314 3.44781 6.21993 3.0709 7.12987C2.69399 8.03982 2.5 9.01509 2.5 10Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">$210k – $288k</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">New York City</span></div></div><span class="text-xs lowercase text-dark-a md:hidden">3 days ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">3 days ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 hover:border-gtmblue-500" data-test="JobApplicationApplyButton" type="button">Apply</button></div></div></div><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/3073161-senior-data-scientist-machine-learning-engineer-search-personalization-ads">Senior Data Scientist / Machine Learning Engineer - Search, Personalization, Ads</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 20 20" width="14" xmlns="http://www.w3.org/2000/svg" class="sm:h-5 sm:w-5"><path d="M12.3333 7.49998C12.1824 7.23811 11.963 7.02223 11.6988 6.87544C11.4346 6.72865 11.1354 6.65647 10.8333 6.66664H9.16667C8.72464 6.66664 8.30072 6.84224 7.98816 7.1548C7.67559 7.46736 7.5 7.89128 7.5 8.33331C7.5 8.77534 7.67559 9.19926 7.98816 9.51182C8.30072 9.82438 8.72464 9.99998 9.16667 9.99998H10.8333C11.2754 9.99998 11.6993 10.1756 12.0118 10.4881C12.3244 10.8007 12.5 11.2246 12.5 11.6666C12.5 12.1087 12.3244 12.5326 12.0118 12.8452C11.6993 13.1577 11.2754 13.3333 10.8333 13.3333H9.16667C8.86458 13.3435 8.56541 13.2713 8.30118 13.1245C8.03696 12.9777 7.81763 12.7618 7.66667 12.5M10 5.83333V14.1667M2.5 10C2.5 10.9849 2.69399 11.9602 3.0709 12.8701C3.44781 13.7801 4.00026 14.6069 4.6967 15.3033C5.39314 15.9997 6.21993 16.5522 7.12987 16.9291C8.03982 17.306 9.01509 17.5 10 17.5C10.9849 17.5 11.9602 17.306 12.8701 16.9291C13.7801 16.5522 14.6069 15.9997 15.3033 15.3033C15.9997 14.6069 16.5522 13.7801 16.9291 12.8701C17.306 11.9602 17.5 10.9849 17.5 10C17.5 9.01509 17.306 8.03982 16.9291 7.12987C16.5522 6.21993 15.9997 5.39314 15.3033 4.6967C14.6069 4.00026 13.7801 3.44781 12.8701 3.0709C11.9602 2.69399 10.9849 2.5 10 2.5C9.01509 2.5 8.03982 2.69399 7.12987 3.0709C6.21993 3.44781 5.39314 4.00026 4.6967 4.6967C4.00026 5.39314 3.44781 6.21993 3.0709 7.12987C2.69399 8.03982 2.5 9.01509 2.5 10Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">$177k – $244k</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">New York City</span></div></div><span class="text-xs lowercase text-dark-a md:hidden">3 days ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">3 days ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 hover:border-gtmblue-500" data-test="JobApplicationApplyButton" type="button">Apply</button></div></div></div></div></div><div class="mb-6 w-full rounded border border-gray-400 bg-white"><div class="w-full space-y-2 px-4 pb-2 pt-4"><div class="flex-col"><div class="flex w-full"><a class="content-center" href="/company/captions-app"><div class="flex h-14 w-14 justify-center overflow-hidden rounded-2xl border border-gray-400 bg-gray-100"><img alt="Captions company logo" loading="lazy" src="/cdn-cgi/image/width=112,height=112,fit=scale-down,gravity=0.5x0.5,quality=90,format=auto/https://photos.wellfound.com/startups/i/8753204-25f79bba3b8229fd3d0900bc411502e5-medium_jpg.jpg?buster=1719602965" height="56" width="56" class="rounded-2xl object-contain"/></div></a><div class="pl-2 flex flex-col"><div class="flex space-x-2"><a class="text-neutral-1000 hover:underline focus:no-underline" href="/company/captions-app"><h2 class="inline text-md font-semibold">Captions</h2></a><div class="flex items-center text-sm font-medium text-pop-green"><div class="mr-1 h-2 w-2 rounded-2xl bg-pop-green"></div>Actively Hiring</div></div><span class="text-xs text-neutral-1000">Captions is building an AI-powered creative studio</span><span class="text-xs italic text-neutral-500">51-200 Employees</span></div></div></div><div class="flex w-full space-x-2 text-[10px] text-accent-persian-600"><ul class="grid w-full grid-cols-2 justify-start gap-2 sm:place-items-center xs:flex xs:flex-row xs:flex-wrap"><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg fill="none" height="12" viewBox="0 0 12 12" width="12" xmlns="http://www.w3.org/2000/svg" class="haloIcon"><path d="M4.5 10.5H7.5M4.5 9H7.5M4.49992 5.99999H2.70692C2.60805 5.99996 2.5114 5.97063 2.4292 5.91569C2.34699 5.86074 2.28292 5.78266 2.24509 5.69131C2.20725 5.59996 2.19735 5.49945 2.21663 5.40247C2.23592 5.30549 2.28352 5.21641 2.35342 5.14649L5.64642 1.85349C5.74019 1.75975 5.86734 1.70709 5.99992 1.70709C6.13251 1.70709 6.25966 1.75975 6.35342 1.85349L9.64642 5.14649C9.71633 5.21641 9.76393 5.30549 9.78322 5.40247C9.8025 5.49945 9.7926 5.59996 9.75476 5.69131C9.71693 5.78266 9.65286 5.86074 9.57065 5.91569C9.48845 5.97063 9.3918 5.99996 9.29292 5.99999H7.49992V7.49999H4.49992V5.99999Z" stroke="black" stroke-linecap="round" stroke-linejoin="round"></path></svg><div class="line-clamp-1">Top 10% of responders</div><div class="styles_tooltip-text__bYBqF">Captions is in the top 10% of companies in terms of response time to applications</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg class="haloIcon" fill="none" height="12" viewBox="0 0 51 46" width="12" xmlns="http://www.w3.org/2000/svg"><path d="M5.16732 23.0826C5.16732 24.1872 6.06275 25.0826 7.16732 25.0826C8.27189 25.0826 9.16732 24.1872 9.16732 23.0826H5.16732ZM27.7923 41.7076C26.6877 41.7076 25.7923 42.6031 25.7923 43.7076C25.7923 44.8122 26.6877 45.7076 27.7923 45.7076V41.7076ZM48.4173 23.0826H46.4173H48.4173ZM27.7923 2.45764V0.457642V2.45764ZM27.7923 23.0826H25.7923C25.7923 23.7513 26.1265 24.3758 26.6829 24.7467L27.7923 23.0826ZM33.5579 29.3301C34.477 29.9428 35.7187 29.6944 36.3314 28.7754C36.9441 27.8563 36.6958 26.6146 35.7767 26.0019L33.5579 29.3301ZM29.7923 11.6243C29.7923 10.5197 28.8969 9.62431 27.7923 9.62431C26.6877 9.62431 25.7923 10.5197 25.7923 11.6243H29.7923ZM2.58398 27.9576C1.47942 27.9576 0.583985 28.8531 0.583984 29.9576C0.583984 31.0622 1.47941 31.9576 2.58398 31.9576L2.58398 27.9576ZM20.9173 31.9576C22.0219 31.9576 22.9173 31.0622 22.9173 29.9576C22.9173 28.8531 22.0219 27.9576 20.9173 27.9576V31.9576ZM7.16732 34.8326C6.06275 34.8326 5.16732 35.7281 5.16732 36.8326C5.16732 37.9372 6.06275 38.8326 7.16732 38.8326V34.8326ZM20.9173 38.8326C22.0219 38.8326 22.9173 37.9372 22.9173 36.8326C22.9173 35.7281 22.0219 34.8326 20.9173 34.8326V38.8326ZM14.0423 41.7076C12.9377 41.7076 12.0423 42.6031 12.0423 43.7076C12.0423 44.8122 12.9377 45.7076 14.0423 45.7076V41.7076ZM20.9173 45.7076C22.0219 45.7076 22.9173 44.8122 22.9173 43.7076C22.9173 42.6031 22.0219 41.7076 20.9173 41.7076V45.7076ZM27.7923 45.7076C30.7635 45.7076 33.7055 45.1224 36.4505 43.9854L34.9198 40.2899C32.6601 41.2259 30.2382 41.7076 27.7923 41.7076V45.7076ZM36.4505 43.9854C39.1955 42.8484 41.6897 41.1819 43.7906 39.0809L40.9622 36.2525C39.2327 37.982 37.1795 39.3539 34.9198 40.2899L36.4505 43.9854ZM43.7906 39.0809C45.8915 36.98 47.5581 34.4858 48.6951 31.7409L44.9996 30.2101C44.0636 32.4698 42.6917 34.523 40.9622 36.2525L43.7906 39.0809ZM48.6951 31.7409C49.8321 28.9959 50.4173 26.0538 50.4173 23.0826H46.4173C46.4173 25.5285 45.9356 27.9504 44.9996 30.2101L48.6951 31.7409ZM50.4173 23.0826C50.4173 20.1115 49.8321 17.1694 48.6951 14.4244L44.9996 15.9552C45.9356 18.2149 46.4173 20.6368 46.4173 23.0826H50.4173ZM48.6951 14.4244C47.5581 11.6794 45.8915 9.18528 43.7906 7.08435L40.9622 9.91278C42.6917 11.6423 44.0636 13.6955 44.9996 15.9552L48.6951 14.4244ZM43.7906 7.08435C41.6897 4.98342 39.1955 3.31688 36.4505 2.17987L34.9198 5.87539C37.1795 6.81138 39.2327 8.18329 40.9622 9.91278L43.7906 7.08435ZM36.4505 2.17987C33.7055 1.04286 30.7635 0.457642 27.7923 0.457642V4.45764C30.2382 4.45764 32.6601 4.93939 34.9198 5.87539L36.4505 2.17987ZM27.7923 0.457642C24.8212 0.457642 21.8791 1.04286 19.1341 2.17987L20.6648 5.87539C22.9245 4.93939 25.3464 4.45764 27.7923 4.45764V0.457642ZM19.1341 2.17987C16.3891 3.31688 13.895 4.98342 11.794 7.08435L14.6225 9.91278C16.3519 8.18329 18.4051 6.81138 20.6648 5.87539L19.1341 2.17987ZM11.794 7.08435C9.6931 9.18528 8.02656 11.6794 6.88954 14.4244L10.5851 15.9552C11.5211 13.6955 12.893 11.6423 14.6225 9.91278L11.794 7.08435ZM6.88954 14.4244C5.75253 17.1694 5.16732 20.1115 5.16732 23.0826H9.16732C9.16732 20.6368 9.64907 18.2149 10.5851 15.9552L6.88954 14.4244ZM26.6829 24.7467L33.5579 29.3301L35.7767 26.0019L28.9017 21.4185L26.6829 24.7467ZM25.7923 11.6243V23.0826H29.7923V11.6243H25.7923ZM2.58398 31.9576L20.9173 31.9576V27.9576L2.58398 27.9576L2.58398 31.9576ZM7.16732 38.8326H20.9173V34.8326H7.16732V38.8326ZM14.0423 45.7076H20.9173V41.7076H14.0423V45.7076Z" fill="black"></path></svg><div class="line-clamp-1">Responds within a week</div><div class="styles_tooltip-text__bYBqF">Based on past data, Captions usually responds to incoming applications within a week</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><div class="line-clamp-1">B2C</div></div></li><li class="inline-flex h-[20px] w-auto max-w-max place-items-center rounded bg-neutral-200 px-1 text-[10px] font-medium text-neutral-800">+5</li></ul></div></div><div class="mb-4 w-full px-4"><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/3158514-machine-learning-engineering-training-data-infrastructure">Machine Learning Engineering, Training Data Infrastructure</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 20 20" width="14" xmlns="http://www.w3.org/2000/svg" class="sm:h-5 sm:w-5"><path d="M12.3333 7.49998C12.1824 7.23811 11.963 7.02223 11.6988 6.87544C11.4346 6.72865 11.1354 6.65647 10.8333 6.66664H9.16667C8.72464 6.66664 8.30072 6.84224 7.98816 7.1548C7.67559 7.46736 7.5 7.89128 7.5 8.33331C7.5 8.77534 7.67559 9.19926 7.98816 9.51182C8.30072 9.82438 8.72464 9.99998 9.16667 9.99998H10.8333C11.2754 9.99998 11.6993 10.1756 12.0118 10.4881C12.3244 10.8007 12.5 11.2246 12.5 11.6666C12.5 12.1087 12.3244 12.5326 12.0118 12.8452C11.6993 13.1577 11.2754 13.3333 10.8333 13.3333H9.16667C8.86458 13.3435 8.56541 13.2713 8.30118 13.1245C8.03696 12.9777 7.81763 12.7618 7.66667 12.5M10 5.83333V14.1667M2.5 10C2.5 10.9849 2.69399 11.9602 3.0709 12.8701C3.44781 13.7801 4.00026 14.6069 4.6967 15.3033C5.39314 15.9997 6.21993 16.5522 7.12987 16.9291C8.03982 17.306 9.01509 17.5 10 17.5C10.9849 17.5 11.9602 17.306 12.8701 16.9291C13.7801 16.5522 14.6069 15.9997 15.3033 15.3033C15.9997 14.6069 16.5522 13.7801 16.9291 12.8701C17.306 11.9602 17.5 10.9849 17.5 10C17.5 9.01509 17.306 8.03982 16.9291 7.12987C16.5522 6.21993 15.9997 5.39314 15.3033 4.6967C14.6069 4.00026 13.7801 3.44781 12.8701 3.0709C11.9602 2.69399 10.9849 2.5 10 2.5C9.01509 2.5 8.03982 2.69399 7.12987 3.0709C6.21993 3.44781 5.39314 4.00026 4.6967 4.6967C4.00026 5.39314 3.44781 6.21993 3.0709 7.12987C2.69399 8.03982 2.5 9.01509 2.5 10Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">$170k – $250k</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">New York</span></div></div><span class="text-xs lowercase text-dark-a md:hidden">today</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">today</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 hover:border-gtmblue-500" data-test="JobApplicationApplyButton" type="button">Apply</button></div></div></div><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/3158513-research-engineer-machine-learning">Research Engineer, Machine Learning</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 20 20" width="14" xmlns="http://www.w3.org/2000/svg" class="sm:h-5 sm:w-5"><path d="M12.3333 7.49998C12.1824 7.23811 11.963 7.02223 11.6988 6.87544C11.4346 6.72865 11.1354 6.65647 10.8333 6.66664H9.16667C8.72464 6.66664 8.30072 6.84224 7.98816 7.1548C7.67559 7.46736 7.5 7.89128 7.5 8.33331C7.5 8.77534 7.67559 9.19926 7.98816 9.51182C8.30072 9.82438 8.72464 9.99998 9.16667 9.99998H10.8333C11.2754 9.99998 11.6993 10.1756 12.0118 10.4881C12.3244 10.8007 12.5 11.2246 12.5 11.6666C12.5 12.1087 12.3244 12.5326 12.0118 12.8452C11.6993 13.1577 11.2754 13.3333 10.8333 13.3333H9.16667C8.86458 13.3435 8.56541 13.2713 8.30118 13.1245C8.03696 12.9777 7.81763 12.7618 7.66667 12.5M10 5.83333V14.1667M2.5 10C2.5 10.9849 2.69399 11.9602 3.0709 12.8701C3.44781 13.7801 4.00026 14.6069 4.6967 15.3033C5.39314 15.9997 6.21993 16.5522 7.12987 16.9291C8.03982 17.306 9.01509 17.5 10 17.5C10.9849 17.5 11.9602 17.306 12.8701 16.9291C13.7801 16.5522 14.6069 15.9997 15.3033 15.3033C15.9997 14.6069 16.5522 13.7801 16.9291 12.8701C17.306 11.9602 17.5 10.9849 17.5 10C17.5 9.01509 17.306 8.03982 16.9291 7.12987C16.5522 6.21993 15.9997 5.39314 15.3033 4.6967C14.6069 4.00026 13.7801 3.44781 12.8701 3.0709C11.9602 2.69399 10.9849 2.5 10 2.5C9.01509 2.5 8.03982 2.69399 7.12987 3.0709C6.21993 3.44781 5.39314 4.00026 4.6967 4.6967C4.00026 5.39314 3.44781 6.21993 3.0709 7.12987C2.69399 8.03982 2.5 9.01509 2.5 10Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">$160k – $250k</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">New York</span></div></div><span class="text-xs lowercase text-dark-a md:hidden">today</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">today</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 hover:border-gtmblue-500" data-test="JobApplicationApplyButton" type="button">Apply</button></div></div></div></div></div><div class="mb-6 w-full rounded border border-gray-400 bg-white"><div class="w-full space-y-2 px-4 pb-2 pt-4"><div class="flex-col"><div class="flex w-full"><a class="content-center" href="/company/stochastic"><div class="flex h-14 w-14 justify-center overflow-hidden rounded-2xl border border-gray-400 bg-gray-100"><img alt="Stochastic company logo" loading="lazy" src="/cdn-cgi/image/width=112,height=112,fit=scale-down,gravity=0.5x0.5,quality=90,format=auto/https://photos.wellfound.com/startups/i/5626537-6b109e55fda2b41509803f79f3be36eb-medium_jpg.jpg?buster=1694015589" height="56" width="56" class="rounded-2xl object-contain"/></div></a><div class="pl-2 flex flex-col"><div class="flex space-x-2"><a class="text-neutral-1000 hover:underline focus:no-underline" href="/company/stochastic"><h2 class="inline text-md font-semibold">Stochastic</h2></a></div><span class="text-xs text-neutral-1000">Making the best AI accessible to everyone</span><span class="text-xs italic text-neutral-500">1-10 Employees</span></div></div></div><div class="flex w-full space-x-2 text-[10px] text-accent-persian-600"><ul class="grid w-full grid-cols-2 justify-start gap-2 sm:place-items-center xs:flex xs:flex-row xs:flex-wrap"><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><div class="line-clamp-1">B2B</div></div></li><li class="styles_tooltip-container__1f8OY rounded px-2 font-medium bg-neutral-100"><div class="flex h-[20px] items-center justify-center space-x-1"><svg fill="none" height="12" viewBox="0 0 12 12" width="12" xmlns="http://www.w3.org/2000/svg" class="haloIcon"><path d="M2.5 10.5C2.75 8.25 3.75 6.5 6 5.5M4.50016 9C7.60916 9 9.75016 7.356 10.0002 3V2H7.99316C3.49316 2 2.00016 4 1.99316 6.5C1.99316 7 1.99316 8 2.99316 9H4.50016Z" stroke="black" stroke-linecap="round" stroke-linejoin="round"></path></svg><div class="line-clamp-1">Early Stage</div><div class="styles_tooltip-text__bYBqF">Startup in initial stages</div></div></li></ul></div></div><div class="mb-4 w-full px-4"><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/1450954-deep-learning-engineer">Deep Learning Engineer</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 20 20" width="14" xmlns="http://www.w3.org/2000/svg" class="sm:h-5 sm:w-5"><path d="M12.3333 7.49998C12.1824 7.23811 11.963 7.02223 11.6988 6.87544C11.4346 6.72865 11.1354 6.65647 10.8333 6.66664H9.16667C8.72464 6.66664 8.30072 6.84224 7.98816 7.1548C7.67559 7.46736 7.5 7.89128 7.5 8.33331C7.5 8.77534 7.67559 9.19926 7.98816 9.51182C8.30072 9.82438 8.72464 9.99998 9.16667 9.99998H10.8333C11.2754 9.99998 11.6993 10.1756 12.0118 10.4881C12.3244 10.8007 12.5 11.2246 12.5 11.6666C12.5 12.1087 12.3244 12.5326 12.0118 12.8452C11.6993 13.1577 11.2754 13.3333 10.8333 13.3333H9.16667C8.86458 13.3435 8.56541 13.2713 8.30118 13.1245C8.03696 12.9777 7.81763 12.7618 7.66667 12.5M10 5.83333V14.1667M2.5 10C2.5 10.9849 2.69399 11.9602 3.0709 12.8701C3.44781 13.7801 4.00026 14.6069 4.6967 15.3033C5.39314 15.9997 6.21993 16.5522 7.12987 16.9291C8.03982 17.306 9.01509 17.5 10 17.5C10.9849 17.5 11.9602 17.306 12.8701 16.9291C13.7801 16.5522 14.6069 15.9997 15.3033 15.3033C15.9997 14.6069 16.5522 13.7801 16.9291 12.8701C17.306 11.9602 17.5 10.9849 17.5 10C17.5 9.01509 17.306 8.03982 16.9291 7.12987C16.5522 6.21993 15.9997 5.39314 15.3033 4.6967C14.6069 4.00026 13.7801 3.44781 12.8701 3.0709C11.9602 2.69399 10.9849 2.5 10 2.5C9.01509 2.5 8.03982 2.69399 7.12987 3.0709C6.21993 3.44781 5.39314 4.00026 4.6967 4.6967C4.00026 5.39314 3.44781 6.21993 3.0709 7.12987C2.69399 8.03982 2.5 9.01509 2.5 10Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">$60k – $140k • 0.0% – 0.5%</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">Remote • New York City</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 17 17" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M5.33335 4.83333V3.16667C5.33335 2.72464 5.50895 2.30072 5.82151 1.98816C6.13407 1.67559 6.55799 1.5 7.00002 1.5H10.3334C10.7754 1.5 11.1993 1.67559 11.5119 1.98816C11.8244 2.30072 12 2.72464 12 3.16667V4.83333M8.66669 9V9.00833M1.16669 9.83333C3.493 11.0056 6.06171 11.6162 8.66669 11.6162C11.2717 11.6162 13.8404 11.0056 16.1667 9.83333M1.16669 6.5C1.16669 6.05797 1.34228 5.63405 1.65484 5.32149C1.9674 5.00893 2.39133 4.83333 2.83335 4.83333H14.5C14.942 4.83333 15.366 5.00893 15.6785 5.32149C15.9911 5.63405 16.1667 6.05797 16.1667 6.5V14C16.1667 14.442 15.9911 14.866 15.6785 15.1785C15.366 15.4911 14.942 15.6667 14.5 15.6667H2.83335C2.39133 15.6667 1.9674 15.4911 1.65484 15.1785C1.34228 14.866 1.16669 14.442 1.16669 14V6.5Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">0 years of exp</span></div></div><span class="text-xs lowercase text-dark-a md:hidden">3 months ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">3 months ago</span><button class="styles-module_component__88XzG mr-2 styles_component__sMuDw styles_secondary__iAX9L rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-white border-black text-black disabled:bg-white disabled:border-gray-700 disabled:text-gray-700 hover:bg-gtmblue-100 hover:border-gtmblue-500 hover:text-gtmblue-500" data-test="Button" type="button">Save</button><div class="w-full sm:w-min"><button class="styles-module_component__88XzG styles_component__Ov6jE w-full sm:w-min styles_component__sMuDw rounded border-solid border gap-x-2 whitespace-nowrap font-medium antialiased text-center text-sm no-underline cursor-pointer focus:outline-0 disabled:cursor-default disabled:pointer-events-none disabled:opacity-50 transition duration-200 px-3 py-1 bg-black border-black text-white disabled:bg-gray-400 disabled:border-gray-400 disabled:text-gray-700 hover:bg-gtmblue-500 hover:border-gtmblue-500" data-test="JobApplicationApplyButton" type="button">Apply</button></div></div></div></div></div><div class="mb-6 w-full rounded border border-gray-400 bg-white"><div class="w-full space-y-2 px-4 pb-2 pt-4"><div class="flex-col"><div class="flex w-full"><a class="content-center" href="/company/lyft-3"><div class="flex h-14 w-14 justify-center overflow-hidden rounded-2xl border border-gray-400 bg-gray-100"><img alt="Lyft company logo" loading="lazy" src="/cdn-cgi/image/width=112,height=112,fit=scale-down,gravity=0.5x0.5,quality=90,format=auto/https://photos.wellfound.com/startups/i/6974318-ebfdbdd6d9eb80f4c7f0bf51c39b8ceb-medium_jpg.jpg?buster=1589638588" height="56" width="56" class="rounded-2xl object-contain"/></div></a><div class="pl-2 flex flex-col"><div class="flex space-x-2"><a class="text-neutral-1000 hover:underline focus:no-underline" href="/company/lyft-3"><h2 class="inline text-md font-semibold">Lyft</h2></a><div class="flex items-center text-sm font-medium text-pop-green"><div class="mr-1 h-2 w-2 rounded-2xl bg-pop-green"></div>Actively Hiring</div></div><span class="text-xs text-neutral-1000">Lyft designs transportation solutions and programs that drive your business forward</span><span class="text-xs italic text-neutral-500">5000+ Employees</span></div></div></div></div><div class="mb-4 w-full px-4"><div class="min-h-[50px] items-end justify-between rounded-2xl px-2 py-2 sm:flex"><div class="w-full pb-1 sm:pb-0"><div class="mb-1 flex items-start"><a class="mr-2 text-sm font-semibold text-brand-burgandy hover:underline" href="/jobs/3127394-senior-data-scientist-machine-learning-fulfilment">Senior Data Scientist, Machine Learning, Fulfilment</a><span class="whitespace-nowrap rounded-lg bg-accent-yellow-100 px-2 py-1 text-[10px] font-semibold text-neutral-800">Full-time</span></div><div class="sm:flex sm:space-x-2"><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 20 20" width="14" xmlns="http://www.w3.org/2000/svg" class="sm:h-5 sm:w-5"><path d="M12.3333 7.49998C12.1824 7.23811 11.963 7.02223 11.6988 6.87544C11.4346 6.72865 11.1354 6.65647 10.8333 6.66664H9.16667C8.72464 6.66664 8.30072 6.84224 7.98816 7.1548C7.67559 7.46736 7.5 7.89128 7.5 8.33331C7.5 8.77534 7.67559 9.19926 7.98816 9.51182C8.30072 9.82438 8.72464 9.99998 9.16667 9.99998H10.8333C11.2754 9.99998 11.6993 10.1756 12.0118 10.4881C12.3244 10.8007 12.5 11.2246 12.5 11.6666C12.5 12.1087 12.3244 12.5326 12.0118 12.8452C11.6993 13.1577 11.2754 13.3333 10.8333 13.3333H9.16667C8.86458 13.3435 8.56541 13.2713 8.30118 13.1245C8.03696 12.9777 7.81763 12.7618 7.66667 12.5M10 5.83333V14.1667M2.5 10C2.5 10.9849 2.69399 11.9602 3.0709 12.8701C3.44781 13.7801 4.00026 14.6069 4.6967 15.3033C5.39314 15.9997 6.21993 16.5522 7.12987 16.9291C8.03982 17.306 9.01509 17.5 10 17.5C10.9849 17.5 11.9602 17.306 12.8701 16.9291C13.7801 16.5522 14.6069 15.9997 15.3033 15.3033C15.9997 14.6069 16.5522 13.7801 16.9291 12.8701C17.306 11.9602 17.5 10.9849 17.5 10C17.5 9.01509 17.306 8.03982 16.9291 7.12987C16.5522 6.21993 15.9997 5.39314 15.3033 4.6967C14.6069 4.00026 13.7801 3.44781 12.8701 3.0709C11.9602 2.69399 10.9849 2.5 10 2.5C9.01509 2.5 8.03982 2.69399 7.12987 3.0709C6.21993 3.44781 5.39314 4.00026 4.6967 4.6967C4.00026 5.39314 3.44781 6.21993 3.0709 7.12987C2.69399 8.03982 2.5 9.01509 2.5 10Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">$144k – $180k</span></div><span class="mx-2 hidden border-r border-gray-400 text-gray-400 sm:inline-block"></span><div class="flex items-center text-neutral-500"><svg fill="none" height="14" viewBox="0 0 13 14" width="14" xmlns="http://www.w3.org/2000/svg"><path d="M4.33333 6.17139C4.33333 6.70182 4.54405 7.21053 4.91912 7.5856C5.29419 7.96067 5.8029 8.17139 6.33333 8.17139C6.86377 8.17139 7.37247 7.96067 7.74755 7.5856C8.12262 7.21053 8.33333 6.70182 8.33333 6.17139C8.33333 5.64095 8.12262 5.13225 7.74755 4.75717C7.37247 4.3821 6.86377 4.17139 6.33333 4.17139C5.8029 4.17139 5.29419 4.3821 4.91912 4.75717C4.54405 5.13225 4.33333 5.64095 4.33333 6.17139Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path><path d="M10.1047 9.94285L7.276 12.7715C7.02599 13.0213 6.68706 13.1616 6.33367 13.1616C5.98028 13.1616 5.64135 13.0213 5.39134 12.7715L2.562 9.94285C1.81615 9.19696 1.30823 8.24665 1.10246 7.21209C0.896695 6.17754 1.00233 5.10519 1.406 4.13067C1.80968 3.15615 2.49327 2.32321 3.37032 1.73719C4.24738 1.15117 5.27851 0.838379 6.33334 0.838379C7.38816 0.838379 8.41929 1.15117 9.29635 1.73719C10.1734 2.32321 10.857 3.15615 11.2607 4.13067C11.6643 5.10519 11.77 6.17754 11.5642 7.21209C11.3584 8.24665 10.8505 9.19696 10.1047 9.94285Z" stroke="#7A7179" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5"></path></svg><span class="pl-1 text-xs">New York City</span></div></div><span class="text-xs lowercase text-dark-a md:hidden">1 month ago</span></div><div class="flex flex-shrink-0 sm:ml-4"><span class="text-xs lowercase text-dark-a mr-2 hidden flex-wrap content-center md:flex">1 month ago</span><button 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All rights reserved.</p><p class="mb-4 text-dark-aa lg:mb-0">Browse by: <a class="styles_component__UCLp3 styles_defaultLink__eZMqw !text-black hover:text-gtmblue-500 hover:underline underline text-dark-aa" href="/browse/tech-jobs">Jobs</a>, <a class="styles_component__UCLp3 styles_defaultLink__eZMqw !text-black hover:text-gtmblue-500 hover:underline underline text-dark-aa" href="/browse/remote-tech-jobs">Remote Jobs</a>, <a class="styles_component__UCLp3 styles_defaultLink__eZMqw !text-black hover:text-gtmblue-500 hover:underline underline text-dark-aa" href="/browse/tech-job-locations">Locations</a>, <a class="styles_component__UCLp3 styles_defaultLink__eZMqw !text-black hover:text-gtmblue-500 hover:underline underline text-dark-aa" href="/browse/tech-startups">Startups</a>, <a class="styles_component__UCLp3 styles_defaultLink__eZMqw !text-black hover:text-gtmblue-500 hover:underline underline text-dark-aa" href="/browse/startups-hiring">Startups Hiring</a>, <a class="styles_component__UCLp3 styles_defaultLink__eZMqw !text-black hover:text-gtmblue-500 hover:underline underline text-dark-aa" href="/browse/tech-industries">Industries</a>, <a class="styles_component__UCLp3 styles_defaultLink__eZMqw !text-black hover:text-gtmblue-500 hover:underline underline text-dark-aa" href="/browse/tech-hubs">Tech Hubs</a></p></div></footer></div></div><script id="__NEXT_DATA__" type="application/json" crossorigin="anonymous">{"props":{"pageProps":{"location":"new-york","page":null,"role":"machine-learning-engineer","__APOLLO_SIG__":"blaD3%8yHo9j3F2%76GYxk9O9A8YfYB0ue9iejwASpdfB2%4KMK9K-2838732371","apollo":null,"apolloState":{"data":{"ROOT_QUERY":{"__typename":"Query","talent":{"__typename":"Talent","viewer":{"__typename":"TalentViewer","id":null,"flashMessages":[],"featureFlags":{"__typename":"FeatureFlags","coproJobDetailShowBadges":false,"recruitDelayedRejections":true,"recruitJobDataCollection":true,"recruitProDiscountPromo":false,"recruitViewLimitIncreased":false,"growthPitchAutoExpire":false,"verificationEnabled":false,"resumeReviewEnabled":false,"candidateJobSearchAlphaWaitlistUpsell":false,"rcSelfServeUpsellCopy":false},"analytics":null,"isAdmin":false,"isBlacklisted":false,"isUserModerator":false,"isImpersonating":false,"isShadowBanned":false,"canApplyToJobs":false,"eligibleForCuratedGlobal":false,"navigationMode":"UNKNOWN","needsVerification":false,"eligibleForCandidateReferrals":false,"currentUser":null,"trueCurrentUser":null,"currentStartup":null,"currentCandidate":null},"seoLandingPageJobSearchResults({\"location\":\"new-york\",\"page\":1,\"role\":\"machine-learning-engineer\"})":{"__typename":"Results","totalStartupCount":110,"totalJobCount":183,"perPage":20,"pageCount":6,"startups":[{"__ref":"StartupResult:1117330"},{"__ref":"StartupResult:9106060"},{"__ref":"StartupResult:9294011"},{"__ref":"StartupResult:8887646"},{"__ref":"StartupResult:5030035"},{"__ref":"StartupResult:1160092"},{"__ref":"StartupResult:9392428"},{"__ref":"StartupResult:129914"},{"__ref":"StartupResult:9810259"},{"__ref":"StartupResult:37232"},{"__ref":"StartupResult:6862677"},{"__ref":"StartupResult:6338831"},{"__ref":"StartupResult:271485"},{"__ref":"StartupResult:9991295"},{"__ref":"StartupResult:161962"},{"__ref":"StartupResult:32171"},{"__ref":"StartupResult:3712456"},{"__ref":"StartupResult:8753204"},{"__ref":"StartupResult:5626537"},{"__ref":"StartupResult:6974318"}]},"seoLandingPageRoleAndLocation({\"location\":\"new-york\",\"page\":1,\"role\":\"machine-learning-engineer\"})":{"__ref":"RoleAndLocationEditorial:1048"}}},"Badge:ACTIVELY_HIRING":{"__typename":"Badge","id":"ACTIVELY_HIRING","name":"ACTIVELY_HIRING_BADGE","label":"Actively Hiring","tooltip":"Actively processing applications","avatarUrl":null,"rating":null,"data":null},"Badge:B2C-1117330":{"__typename":"Badge","id":"B2C-1117330","name":"B2C_BADGE","label":"B2C","tooltip":null,"avatarUrl":null,"rating":null,"data":null},"Badge:COMPANY_STAGE-1117330":{"__typename":"Badge","id":"COMPANY_STAGE-1117330","name":"COMPANY_STAGE_BADGE","label":"Growth Stage","tooltip":"Expanding market presence","avatarUrl":null,"rating":null,"data":"growth_stage"},"Badge:TOP_INVESTORS-1117330":{"__typename":"Badge","id":"TOP_INVESTORS-1117330","name":"TOP_INVESTORS_BADGE","label":"Top Investors","tooltip":"This company has received a significant amount of investment from top investors","avatarUrl":null,"rating":null,"data":null},"JobListingSearchResult:3147371":{"__typename":"JobListingSearchResult","autoPosted":false,"atsSource":"AtsIntegration::Greenhouse::Listing","description":"### About Citizen\n\nCitizen is the No. 1 public safety app in the U.S., with a mission to make the world a safer place. 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You will work with customers of Chalk to build efficient feature pipelines for problems in healthcare, finance, and recommendation systems. This role will give you a unique opportunity to work closely with customers, gathering requirements and engineering feature pipelines that support use-cases like cancer detection, fraud prevention, and product recommendation. This is your opportunity to join us in-person as an early employee and make a significant impact at a high growth start-up.\n\n**What you will do**\n\n* Write code to implement Chalk technology for Chalk customers and prospects. 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He then founded Haven Money (with Elliot) which now powers Credit Karma Money.\n* Marc (https://linkedin.com/in/marcff) spent many years at Google where he helped to launch the first version of Google Wallet. He went on to start Index which Stripe acquired as its in-store payment solution – it’s now called Stripe Terminal.\n\n**About the role**\n\nWe are hiring Software Engineers to join our team. This is an opportunity to join as an early employee and make a large impact at a high growth start-up. You will tackle challenging engineering problems with a high degree of autonomy and ownership. \n\nWe are looking for a software engineer with a strong background in systems engineering. At Chalk we are solving problems drawn from the fields of DBMS query planning \u0026amp; optimization, compilers, and distributed analytical data processing systems.\n\nChalk uses dynamic and static analysis of Python programs in order to optimize arbitrary user Python code, infers and orchestrates infrastructure implied by the structure of that code, and tracks metadata about flow of data through these systems. \n\n**What you will do**\n\n* Work directly with Chalk’s co-founders to productionize our first iteration\n* Write Python and Rust\n* Design, implement, ship, and maintain significant components of our query planning and execution engine\n* Iterate rapidly to improve Chalk’s platform in response to customer needs\n\n**What we’re looking for**\n\n* Strong working knowledge of computer science fundamentals. 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Every day brings new opportunities to learn\n\n**Our ideal candidate:**\n\n- Has 4+ years of software engineering experience with 2+ years building machine learning systems at scale\n- Has experience working with distributed computing and building CI/CD tools.\n - Some of the tools that we use include spark, MLflow, pants, etc.\n- Enjoys collaborating with cross-functional partners (data scientists, data engineers and product managers) to set clear expectations and solve common problems.\n- Is driven to work with customers to have an impact on the real world\n\n**Bonus points if you:**\n\n- Have an outstanding track record of designing and implementing machine learning systems\n- Have experience working as both a software engineer and a data scientist\n\n**About Us:**\n\nAt Enigma, we’re building the single, most reliable source of data on businesses to power the future of financial services. By engineering better data from hundreds of public and third-party sources, we aim to tell the complete story of every business, so that companies of every size can access the financial services they need to grow and thrive. Our core values – generosity, curiosity, ingenuity, \u0026 drive – guide everything we do, from how we make our most important product decisions to how we work with and support one another on a daily basis. We’re a team of curious, driven individuals with diverse backgrounds and skills, but we’re all passionate about engineering deeper understanding through data—together. If this resonates, we would love to hear from you!\n\nWe are proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\n\n*Salary Range: $160,000-$210,000*\n\n*A note on salary ranges: we pride ourselves on paying competitively for our size and industry. Salary is one piece of a total Enigma compensation package that includes additional benefits and opportunities. 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We eagerly anticipate hearing from you!\n\nNote: Compensation and equity will be market-competitive for seed-stage funded startups and will be discussed during the interview process.\n\n","jobType":"full-time","liveStartAt":1730853405,"locationNames":["New York"],"primaryRoleTitle":"Machine Learning Engineer","remote":false,"slug":"senior-staff-machine-learning-engineer","title":"Senior/Staff Machine Learning Engineer","compensation":"$140k – $220k","yearsExperienceMin":5,"yearsExperienceMax":null,"id":"2903044","isBookmarked":false},"StartupResult:9810259":{"__typename":"StartupResult","id":"9810259","badges":[{"__ref":"Badge:ACTIVELY_HIRING"},{"__ref":"Badge:COMPANY_STAGE-9810259"}],"companySize":"SIZE_11_50","highConcept":"Revolutionizing media for the AI era","highlightedJobListings":[{"__ref":"JobListingSearchResult:2903044"}],"logoUrl":"https://photos.wellfound.com/startups/i/9810259-e32e5f99a6cfdb1e3332c7b960f7a30e-medium_jpg.jpg?buster=1696386711","name":"Firsthand","slug":"firsthand-labs"},"Badge:B2B-37232":{"__typename":"Badge","id":"B2B-37232","name":"B2B_BADGE","label":"B2B","tooltip":null,"avatarUrl":null,"rating":null,"data":null},"Badge:COMPANY_STAGE-37232":{"__typename":"Badge","id":"COMPANY_STAGE-37232","name":"COMPANY_STAGE_BADGE","label":"Scale Stage","tooltip":"Rapidly increasing operations","avatarUrl":null,"rating":null,"data":"scale_stage"},"Badge:TOP_INVESTORS-37232":{"__typename":"Badge","id":"TOP_INVESTORS-37232","name":"TOP_INVESTORS_BADGE","label":"Top Investors","tooltip":"This company has received a significant amount of investment from top investors","avatarUrl":null,"rating":null,"data":null},"Badge:YC-37232":{"__typename":"Badge","id":"YC-37232","name":"YC_BADGE","label":"YC Funded","tooltip":"Startup funded by Y Combinator","avatarUrl":null,"rating":null,"data":null},"Badge:VALUATION_1B-37232":{"__typename":"Badge","id":"VALUATION_1B-37232","name":"VALUATION1B_BADGE","label":"Valuation $1B+","tooltip":"This company has a valuation of $1B or more","avatarUrl":null,"rating":null,"data":null},"Badge:STRONG_LEADERSHIP-37232":{"__typename":"Badge","id":"STRONG_LEADERSHIP-37232","name":"STRONG_LEADERSHIP_BADGE","label":"Strong Leadership","tooltip":"Employees rate Stripe 4.1/5 on Glassdoor for faith in leadership","avatarUrl":null,"rating":"4.1","data":null},"JobListingSearchResult:3134249":{"__typename":"JobListingSearchResult","autoPosted":true,"atsSource":null,"description":"## **Who we are**\n\n### **About Stripe**\n\nStripe is a financial infrastructure platform for businesses. 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You'll have the chance to work on creative projects like the Stripe Assistant and the Stripe Foundation Model, which leverage machine learning to revolutionize how businesses interact with financial services and data.\n\n### **Responsibilities**\n\n- Develop and deploy large-scale machine learning systems that drive significant business value across various domains.\n- Engage in the end-to-end process of designing, training, improving, and launching machine learning models.\n- Write production-scale ML models that will be deployed to help Stripe enable economic infrastructure access for a diverse range of businesses globally.\n- Collaborate across teams to incorporate feedback and proactively seek solutions to challenges.\n- Rapidly learn new technologies and approaches, demonstrating a strong ability to ask insightful questions and communicate the status of your work effectively.\n\n## **Who you are**\n\n### **Minimum requirements**\n\n- A deep understanding of computer science, obtained through the pursuit of a PhD in Computer Science, Machine Learning, or a closely related field, with the expectation of graduating in winter 2025 or spring/summer 2026.\n- Practical experience with programming and machine learning, evidenced by projects, classwork, or research. 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At Stripe, you won't just be working on theoretical projects; you'll make a tangible impact on the world's economic infrastructure.\n\n","jobType":"full-time","liveStartAt":1729730335,"locationNames":["New York City","Seattle","San Francisco"],"primaryRoleTitle":"Machine Learning Engineer","remote":false,"slug":"phd-machine-learning-engineer-intern","title":"PhD Machine Learning Engineer, Intern","compensation":"","yearsExperienceMin":null,"yearsExperienceMax":null,"id":"3134249","isBookmarked":false},"JobListingSearchResult:3134248":{"__typename":"JobListingSearchResult","autoPosted":true,"atsSource":null,"description":"## Who we are\n\n### About Stripe\n\nStripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career..\n\n### About the team\n\nStripe's Applied ML organization is excited to offer new grad PhD machine learning engineering positions for 2025. This is an exceptional opportunity to contribute to critical projects that directly enhance Stripe's suite of products, focusing on areas such as foundation models used for dozens of tasks e.g. fraud detection, enhanced support, and predicting user behavior.\n\nYou will tackle challenging problems at the intersection of finance, technology, and data. You'll have the chance to work on creative projects like the Stripe Assistant and the Stripe Foundation Model, which leverage machine learning to revolutionize how businesses interact with financial services and data.\n\n## What you’ll do\n\n### Responsibilities\n\n- Develop and deploy large-scale machine learning systems that drive significant business value across various domains.\n- Engage in the end-to-end process of designing, training, improving, and launching machine learning models.\n- Write production-scale ML models that will be deployed to help Stripe enable economic infrastructure access for a diverse range of businesses globally.\n- Collaborate across teams to incorporate feedback and proactively seek solutions to challenges.\n- Rapidly learn new technologies and approaches, demonstrating a strong ability to ask insightful questions and communicate the status of your work effectively.\n\n## **Who you are**\n\n### Minimum requirements\n\n- A deep understanding of computer science, obtained through the pursuit of a PhD in Computer Science, Machine Learning, or a closely related field, with the expectation of graduating in winter 2024 or spring/summer 2025.\n- Practical experience with programming and machine learning, evidenced by projects, classwork, or research. 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Already, thousands of dental providers and insurers rely on our platform to deliver the best possible care. Now, we’re looking for talented people to fulfill our mission: improve oral health for all.\n\nOverjet is where builders become leaders. Everyone here loves to make new things: new products, new partnerships, new content, and a new category of AI technology. And as Overjet grows ridiculously fast, so will you.\n\nSimply put, there’s no better place to accelerate your career. Come join us!\n\n**The Role**\n\nAs an ML Engineer at Overjet, your aim will be to help in the development of tools, infrastructure, processes, and overall systems that enable us to develop, test, and ship AI/ML models into large scale production environments.\n\nYou will be responsible for designing the architecture and roadmap of the full-stack of ML lifecycle: from dataset creation and pre- and post-processing, model training and model evaluation infrastructure, to the fully automated deployment of models in production. As part of your role, you will also be responsible for the development, implementation, and maintenance of tools and systems dedicated to monitoring the performance of our production models.\n\n**Responsibilities**\n\n- Develop and maintain machine learning model development pipelines\n- Develop and maintain real time and batch inference pipelines\n- Implement and maintain metrics for tracking ML models performance\n- Design and develop internal tools and APIs related to training and evaluation dataset creation\n- Model integration with labeling and data curation processes\n- Develop and maintain datasets and feature stores\n- Model performance optimization, monitoring, maintenance, and reporting\n- Development of generalized training and inference services\n\n**Qualifications**\n\n- 3+ years of of experience designing microservices and data processing pipelines at scale\n- 3+ years of experience with Google Cloud Platform (GCP) or AWS\n- Experience with distributed model training and/or inference\n- Previous experience deploying systems for efficient batch or online ETL (Knowledge of Kubernetes and Terraform is required)\n- Strong programming skills in Python (5+ years)\n- Experience with database (SQL and NoSQL) systems such as BigQuery, Postgres, MongoDB\n- Experience with optimizing models for production deployments (e.g. architecture modifications, quantization, or other techniques)\n- Strong understanding of machine learning concepts and algorithms, and experience with developing and deploying machine learning models in production\n- Working machine learning knowledge of either Computer Vision models or LLMs (Demonstrable experience working with Pytorch is required)\n- Ability to modify and train open source models\n\n**Why Overjet?**\n\n- Competitive Compensation and Equity\n- Hybrid workplace that provides flexibility, vibrant in-person workspaces, and the ability to build strong connections across all of Overjet - regardless of location\n- 401k plans with a matching program\n- Medical, Dental and Vision coverage: 99% employee premium covered, 75% dependent premium covered\n- Life and AD+D Insurance\n- 8 weeks Paid Parental Leave\n- Optional HSA with Employer contribution\n- Flexible Time Off and company paid holidays\n- Annual Learning and Development Stipend\n- Work from Home Stipend\n\n**Our Hybrid Workplace**\n\nWe have a unique hybrid workplace at Overjet — which combines the teamwork of meeting in person, with the flexibility of working from anywhere.\n\nMany of our positions are based in Palo Alto, New York City, Boston, and Lahore. The Jetsetters who live in these “geo-hubs” come to the office on Tuesdays and Wednesdays, while having the option to work from home the rest of the week.\n\nOur People Team is happy to answer any questions about what hybrid work means for your specific role!\n\n**Overjet's Values**\n\n- Excellence: We set ambitious goals and strive for excellence.\n- Velocity: We focus, act with urgency, and deliver results.\n- Ownership: We take ownership, dive deep and solve problems.\n- Win-win: We play to win, setting ourselves and our customers up for success.\n- Growth: We stay curious, seek feedback, and continuously learn and grow.\n\n**Company Recognition**\n\n- Named one of the [TIME Best Inventions of 2024](https://www.overjet.com/blog/overjet-named-to-time-best-inventions-of-2024)\n- Recognized in *Newsweek*’s [Most Loved Workplaces in America 2024](https://www.newsweek.com/top-20-most-loved-workplaces-america-2024-1960025)\n- Won the Dental Health category at the [Digital Health Awards 2024](https://www.digitalhealthhub.org/awards/2024/2024-winners)\n- Honored as one of the [2024 Best Places to Work by Built In](https://www.overjet.com/blog/overjet-is-one-of-built-in-s-best-startups-to-work-for-in-2024)\n- Recognized as one of the [Top Startups of 2023 by LinkedIn](https://www.overjet.com/blog/overjet-named-to-linkedin-s-2023-top-startups-list-in-united-states)\n- Named one of the [2023 World’s Most Innovative Companies by *Fast Company*](https://www.overjet.com/blog/overjet-named-to-fast-company-s-2023-list-of-the-world-s-most-innovative-companies)\n- Included on the definitive [2022 Forbes AI 50](https://www.prnewswire.com/news-releases/overjet-named-to-forbes-ai-50-list-of-most-promising-ai-companies-shaping-the-future-301544947.html)\n- Featured in *Bloomberg*,* Forbes*, *Fast Company*, and* TechCrunch*\n\n#### **EEOC**\n\n#### *Overjet is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. Even if you don't meet 100% of the qualifications for this job, we strongly encourage you to apply! *\n\n*If you are a Colorado resident: Please contact us by emailing recruiting@overjet.ai to receive compensation and benefits information for this role. Please include the job title in the subject line of the email.*\n\n","jobType":"full-time","liveStartAt":1727127590,"locationNames":["Boston","New York City","Palo Alto","Toronto"],"primaryRoleTitle":"Machine Learning Engineer","remote":false,"slug":"senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","compensation":"","yearsExperienceMin":null,"yearsExperienceMax":null,"id":"3095684","isBookmarked":false},"JobListingSearchResult:3132581":{"__typename":"JobListingSearchResult","autoPosted":false,"atsSource":"AtsIntegration::Greenhouse::Listing","description":"**Lead the Future of Dentistry.**\n\nOverjet is the world-leader in dental AI. Already, thousands of dental providers and insurers rely on our platform to deliver the best possible care. Now, we’re looking for talented people to fulfill our mission: improve oral health for all.\n\nOverjet is where builders become leaders. Everyone here loves to make new things: new products, new partnerships, new content, and a new category of AI technology. And as Overjet grows ridiculously fast, so will you.\n\nSimply put, there’s no better place to accelerate your career. Come join us!\n\n**The Role**\n\nOverjet is hiring a talented Staff Data Engineer to design, develop, and implement data integration solutions that help ensure we have world class data engineering capabilities. \nThe ideal candidate has strong back-end skills, significant experience with data flows \u0026 data modeling, and a passion for making sure that data is flowing across the board so that we can best serve our customers.\n\n**Responsibilities**\n\n- Design, develop, and implement data pipelines to process data from patient management systems and digital imaging systems\n- Collaborate with cross-functional teams, including Machine Learning engineers and product managers\n- Conduct data mapping and data modeling activities\n- Build framework for automated rollout of our products to new customers, including data validation\n- Guide the development of data resources, support new product launches and improve product runtime performance\n- Regularly scheduled and sometimes ad-hoc on-call rotations is part of the core job every engineer on our team\n- Regularly scheduled and sometimes ad-hoc on-call rotations is part of the core job.\n\n**Qualifications**\n\n- 10+ years of software engineering experience including 3+ years of data-related experience\n- Strong programming skills in Python and C#, with the ability to write efficient and maintainable code\n- Proficiency in SQL, familiarity with data modeling and database design principles\n- Experience working with cloud vendors (GCP/AWS/Azure), especially using infrastructure-as-code software like Terraform\n- Strong knowledge of Docker and Kubernetes for containerization and orchestration\n- Experience with Practice Management Systems or electronic health records (EHR) is a plus but not required\n- Knowledge of data security and compliance standard (e.g. HIPAA) and experience with sensitive patient data is a plus but not required\n\n**Why Overjet?**\n\n- Competitive Compensation and Equity\n- Hybrid workplace that provides flexibility, vibrant in-person workspaces, and the ability to build strong connections across all of Overjet - regardless of location\n- 401k plans with a matching program\n- Medical, Dental and Vision coverage: 99% employee premium covered, 75% dependent premium covered\n- Life and AD+D Insurance\n- 8 weeks Paid Parental Leave\n- Optional HSA with Employer contribution\n- Flexible Time Off and company paid holidays\n- Annual Learning and Development Stipend\n- Work from Home Stipend\n\n**Our Hybrid Workplace**\n\nWe have a unique hybrid workplace at Overjet — which combines the teamwork of meeting in person, with the flexibility of working from anywhere.\n\nMany of our positions are based in Palo Alto, New York City, Boston, and Lahore. The Jetsetters who live in these “geo-hubs” come to the office on Tuesdays and Wednesdays, while having the option to work from home the rest of the week.\n\nOur People Team is happy to answer any questions about what hybrid work means for your specific role!\n\n**Overjet's Values**\n\n- Excellence: We set ambitious goals and strive for excellence.\n- Velocity: We focus, act with urgency, and deliver results.\n- Ownership: We take ownership, dive deep and solve problems.\n- Win-win: We play to win, setting ourselves and our customers up for success.\n- Growth: We stay curious, seek feedback, and continuously learn and grow.\n**Company Recognition**\n- Named one of the [TIME Best Inventions of 2024](https://www.overjet.com/blog/overjet-named-to-time-best-inventions-of-2024)\n- Recognized in *Newsweek*’s [Most Loved Workplaces in America 2024](https://www.newsweek.com/top-20-most-loved-workplaces-america-2024-1960025)\n- Won the Dental Health category at the [Digital Health Awards 2024](https://www.digitalhealthhub.org/awards/2024/2024-winners)\n- Honored as one of the [2024 Best Places to Work by Built In](https://www.overjet.com/blog/overjet-is-one-of-built-in-s-best-startups-to-work-for-in-2024)\n- Recognized as one of the [Top Startups of 2023 by LinkedIn](https://www.overjet.com/blog/overjet-named-to-linkedin-s-2023-top-startups-list-in-united-states)\n- Named one of the [2023 World’s Most Innovative Companies by *Fast Company*](https://www.overjet.com/blog/overjet-named-to-fast-company-s-2023-list-of-the-world-s-most-innovative-companies)\n- Included on the definitive [2022 Forbes AI 50](https://www.prnewswire.com/news-releases/overjet-named-to-forbes-ai-50-list-of-most-promising-ai-companies-shaping-the-future-301544947.html)\n- Featured in *Bloomberg*,* Forbes*, *Fast Company*, and* TechCrunch*\n\n#### **EEOC**\n\n#### *Overjet is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. Even if you don't meet 100% of the qualifications for this job, we strongly encourage you to apply! *\n\n*If you are a Colorado resident: Please contact us by emailing recruiting@overjet.ai to receive compensation and benefits information for this role. Please include the job title in the subject line of the email.*\n\n","jobType":"full-time","liveStartAt":1729633206,"locationNames":["Boston","New York City","Palo Alto"],"primaryRoleTitle":"Backend Engineer","remote":false,"slug":"staff-software-engineer-data-platform","title":"Staff Software Engineer, Data Platform","compensation":"","yearsExperienceMin":null,"yearsExperienceMax":null,"id":"3132581","isBookmarked":false},"JobListingSearchResult:3117269":{"__typename":"JobListingSearchResult","autoPosted":false,"atsSource":"AtsIntegration::Greenhouse::Listing","description":"**Lead the Future of Dentistry.**\n\nOverjet is the world-leader in dental AI. Already, thousands of dental providers and insurers rely on our platform to deliver the best possible care. Now, we’re looking for talented people to fulfill our mission: improve oral health for all.\n\nOverjet is where builders become leaders. Everyone here loves to make new things: new products, new partnerships, new content, and a new category of AI technology. And as Overjet grows ridiculously fast, so will you.\n\nSimply put, there’s no better place to accelerate your career. Come join us!\n\n**The Role**\n\nThe Practice Operations Team is dedicated to helping clinical teams deliver the best patient care at the dentist office. We apply Overjet’s cutting-edge dental AI in a SaaS platform so dentists can consistently identify needed patient care and better explain treatment needs with powerful AI visualizations.\n\nWe’re a cross-functional technical team blending backend, frontend, data engineering, machine learning, data science, and product. We work closely with sales, product, clinical, and customer success teams to rapidly iterate the Platform and delight clinicians and patients. Join us to transform both your next dentist appointment and the future of global oral healthcare!\n\nWe are looking for a Support Engineer with strong technical and interpersonal skills, who will serve as the primary Support Engineer for the Overjet IRIS Image Capture platform.\n\n**Responsibilities**\n\n- Provide support to live customers via email, phone and meetings as required\n- Utilize a combination of cloud based and open source tools and frameworks to solve complex data problems\n- Write efficient and scalable code, ensuring code quality and adherence to best practices\n- Troubleshoot and resolve software defects and performance issues\n- Work cross-functionally with product, engineering, clinical and customer success teams to streamline the support processes for our IRIS customers\n- Ability to be \"on-call\" on non-working hours periodically, as needed and planned for by the team\n\n**Qualifications**\n\n- Excellent academic background in Computer Science or other related field\n- 3-5 years of experience of Software Engineering experience\n- 3+ years of SaaS experience\n- Experience with customer support\n- Experience with Dental Practice Management Systems and Imaging Systems (nice to have)\n- Excellent customer-facing communication skills\n- Excellent verbal and written communication in English is required\n- Ability to thrive in a fast-paced, technical, and mission-focused environment\n\n**Our Hybrid Workplace**\n\nWe have a unique hybrid workplace at Overjet — which combines the teamwork of meeting in person, with the flexibility of working from anywhere.\n\nMany of our positions are based in Palo Alto, New York City, Boston, and Lahore. The Jetsetters who live in these “geo-hubs” come to the office on Tuesdays and Wednesdays, while having the option to work from home the rest of the week.\n\nOur People Team is happy to answer any questions about what hybrid work means for your specific role!\n\n**Overjet's Values**\n\n- Excellence: We set ambitious goals and strive for excellence.\n- Velocity: We focus, act with urgency, and deliver results.\n- Ownership: We take ownership, dive deep and solve problems.\n- Win-win: We play to win, setting ourselves and our customers up for success.\n- Growth: We stay curious, seek feedback, and continuously learn and grow.\n**Company Recognition**\n- Named one of the [TIME Best Inventions of 2024](https://www.overjet.com/blog/overjet-named-to-time-best-inventions-of-2024)\n- Recognized in *Newsweek*’s [Most Loved Workplaces in America 2024](https://www.newsweek.com/top-20-most-loved-workplaces-america-2024-1960025)\n- Won the Dental Health category at the [Digital Health Awards 2024](https://www.digitalhealthhub.org/awards/2024/2024-winners)\n- Honored as one of the [2024 Best Places to Work by Built In](https://www.overjet.com/blog/overjet-is-one-of-built-in-s-best-startups-to-work-for-in-2024)\n- Recognized as one of the [Top Startups of 2023 by LinkedIn](https://www.overjet.com/blog/overjet-named-to-linkedin-s-2023-top-startups-list-in-united-states)\n- Named one of the [2023 World’s Most Innovative Companies by *Fast Company*](https://www.overjet.com/blog/overjet-named-to-fast-company-s-2023-list-of-the-world-s-most-innovative-companies)\n- Included on the definitive [2022 Forbes AI 50](https://www.prnewswire.com/news-releases/overjet-named-to-forbes-ai-50-list-of-most-promising-ai-companies-shaping-the-future-301544947.html)\n- Featured in *Bloomberg*,* Forbes*, *Fast Company*, and* TechCrunch*\n\n#### **EEOC**\n\n#### *Overjet is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. Even if you don't meet 100% of the qualifications for this job, we strongly encourage you to apply! *\n\n*If you are a Colorado resident: Please contact us by emailing recruiting@overjet.ai to receive compensation and benefits information for this role. Please include the job title in the subject line of the email.*\n\n","jobType":"full-time","liveStartAt":1727991687,"locationNames":["Boston","New York City","Palo Alto","Lahore"],"primaryRoleTitle":"Software Engineer","remote":true,"slug":"support-engineer","title":"Support Engineer","compensation":"","yearsExperienceMin":null,"yearsExperienceMax":null,"id":"3117269","isBookmarked":false},"StartupResult:6338831":{"__typename":"StartupResult","id":"6338831","badges":[{"__ref":"Badge:ACTIVELY_HIRING"},{"__ref":"Badge:B2B-6338831"},{"__ref":"Badge:COMPANY_STAGE-6338831"},{"__ref":"Badge:TOP_INVESTORS-6338831"},{"__ref":"Badge:VALUATION_500M-6338831"}],"companySize":"SIZE_51_200","highConcept":"Transforming Dentistry using Artificial Intelligence","highlightedJobListings":[{"__ref":"JobListingSearchResult:3095684"},{"__ref":"JobListingSearchResult:3132581"},{"__ref":"JobListingSearchResult:3117269"}],"logoUrl":"https://photos.wellfound.com/startups/i/6338831-2c39c8631b5b692d18d770b12fa75694-medium_jpg.jpg?buster=1660834508","name":"Overjet ","slug":"overjet-1"},"Badge:B2C-271485":{"__typename":"Badge","id":"B2C-271485","name":"B2C_BADGE","label":"B2C","tooltip":null,"avatarUrl":null,"rating":null,"data":null},"Badge:COMPANY_STAGE-271485":{"__typename":"Badge","id":"COMPANY_STAGE-271485","name":"COMPANY_STAGE_BADGE","label":"Public Stage","tooltip":"Publicly traded company","avatarUrl":null,"rating":null,"data":"public_stage"},"Badge:TOP_INVESTORS-271485":{"__typename":"Badge","id":"TOP_INVESTORS-271485","name":"TOP_INVESTORS_BADGE","label":"Top Investors","tooltip":"This company has received a significant amount of investment from top investors","avatarUrl":null,"rating":null,"data":null},"Badge:YC-271485":{"__typename":"Badge","id":"YC-271485","name":"YC_BADGE","label":"YC Funded","tooltip":"Startup funded by Y Combinator","avatarUrl":null,"rating":null,"data":null},"JobListingSearchResult:2983187":{"__typename":"JobListingSearchResult","autoPosted":true,"atsSource":null,"description":"# **About the Team**\n\nCome help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop the AI/ML to power DoorDash growing Merchants. \n\n# **About the Role**\n\nYou will be leading a team of world-class engineers in Machine Learning science, redefining Merchant experience through cutting edge approaches, and providing a consistent, personalized experience to our merchants, no matter where they sit on their journey with us.\n\nIn this role, you will utilize our robust data and machine learning infrastructure to develop inference and optimization for Merchant experience and build new merchant’s products, such as deep learning based logistic service for restaurants and non-restaurants, AI solutions to make our catering product successful, menu item tax categorization, expanding our merchant selection on DoorDash. You will partner cross functionally to set the strategies that help us grow our business and lead efforts to execute those strategies.\n\n# **You’re excited about this opportunity because you will…**\n\n- Lead the effort for Merchant machine learning: Applying supervised, semi-supervised, LLM, Deep Learning, Multi-modality AI to improve or Merchant experience and build new merchant’s products\n- Lead the team to build AI powered products for restaurants onboarding, build logistic ETA that provides the most accurate and robust time prediction for non-restaurants DoorDash logistics service, improve tax categorization prediction.\n- Lead with engineering and product leaders to shape the product roadmap leveraging AI/ML.\n- Lead a team to implement end to end ML products, and ship both real time and batch production models via experimentation.\n- Find and propose new ways to drive business impact and solve complex problems through state of the art ML and GenAI\n- Hire, grow and mentor a talented team of Machine Learning Scientists\n\nYou can find out more on our ML blog [here](https://doordash.engineering/category/data-science-and-machine-learning/)\n\n# **We’re excited about you because you have…**\n\n- 2+ years of being a team lead and tech lead role on big machine learning systems\n- 6+ years of industry experience developing advanced machine learning models with business impact, and shipping ML solutions to production.\n- Deep familiarity with applied ML systems, such as deep learning, computer vision, NLP, causal inference recommendation, LLM\n- Good understanding of many quantitative disciplines such as statistics, machine learning, operations research, and causal inference\n- Desire for impact — ready to take on a lot of responsibility and work collaboratively with your team\n- Growth-minded — you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth setting\n- Adaptable, resilient, and able to thrive in ambiguity — things change quickly in our fast-growing business and you’ll need to be able to keep up!\n- You’re an owner — driven, focused, and quick to take ownership of your work\n- High-energy and confident — you keep the mission in mind, initiate ideas and help them grow, show evidence of progress and then double down\n- M.S., or PhD. in Statistics, Computer Science, Economics, Math, Operations Research, Physics, or other quantitative fields.\n\n# **About DoorDash**\n\nAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. \n\nDoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.\n\n# **Our Commitment to Diversity and Inclusion**\n\nWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. \n\nStatement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.\n\nPursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.\n\nIf you need any accommodations, please inform your recruiting contact upon initial connection.\n\n# **Compensation**\n\nThe location-specific base salary range for this position is listed below. Compensation in other geographies may vary. \n \nActual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For roles that are available to be filled remotely, base salary is localized according to employee work location. Please discuss your intended work location with your recruiter for more information. \n \nDoorDash cares about you and your overall well-being, and that’s why we offer a comprehensive benefits package, for full-time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others. \n \nIn addition to base salary, the compensation package for this role also includes opportunities for equity grants.\n\n \n\nWe use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using [Covey Scout for Inbound](https://getcovey.com/product/covey-scout-inbound) on June 20, 2024.\n\nPlease see the independent bias audit report covering our use of Covey [here](https://getcovey.com/nyc-local-law-144).\n\nCalifornia Pay Range:$201,900—$302,900 USDNew York Pay Range:$201,900—$302,900 USDWashington Pay Range:$201,900—$302,900 USD\n\n","jobType":"full-time","liveStartAt":1713314737,"locationNames":["New York City","Seattle","San Francisco","Sunnyvale"],"primaryRoleTitle":"Machine Learning Engineer","remote":false,"slug":"machine-learning-engineer-lead-merchant","title":"Machine Learning Engineer Lead - Merchant","compensation":"$202k – $303k","yearsExperienceMin":null,"yearsExperienceMax":null,"id":"2983187","isBookmarked":false},"JobListingSearchResult:2903746":{"__typename":"JobListingSearchResult","autoPosted":true,"atsSource":null,"description":"# **About the Team**\n\nCome help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery! We're looking for an experienced machine learning engineer to help us develop the cutting-edge machine learning models that power DoorDash's growing grocery and retail business.\n\n# **About the Role**\n\nWe’re looking for a passionate Machine Learning Engineer to join our team. You’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the ranking, fulfillment and catalog system at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our consumer shopping journey delightful, fulfillment system efficient and knowledge graph accurate. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multidisciplinary teams.\n\nYou will report to the engineering manager on our New Verticals ML team. We expect this role to be hybrid with some time in-office and some time remote.\n\n# **You’re excited about this opportunity because you will…**\n\n- Develop production machine learning solutions to solve various shopping and dashing problems including recommendation, search, logistic optimization, product knowledge graph building.\n- Partner with engineering, product, and business strategy leaders to help shape an ML-driven product roadmap and grow a multi-billion dollar retail delivery business.\n- Find new ways to use diverse data sources, intuitive models, and flexible experimentation to create a world-class shopping and dashing experience.\n\nYou can find out more on our ML blog post[ here](https://doordash.engineering/category/data-science-and-machine-learning/)\n\n# **We're excited about you because you have…** \n\n- 1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impact\n- Experience with machine learning methods in Recommendation System, Search, Causal Inference, Optimization, Time Series, Natural Language Processing, Large Language Model, Computer Vision.\n- Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks.\n- M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields.\n- The desire for impact with a growth-minded and collaborative mindset\n\n# **About DoorDash**\n\nAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. \n\nDoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.\n\n# **Our Commitment to Diversity and Inclusion**\n\nWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. \n\nStatement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.\n\nPursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.\n\nIf you need any accommodations, please inform your recruiting contact upon initial connection.\n\n# **Compensation**\n\nThe location-specific base salary range for this position is listed below. Compensation in other geographies may vary. \n \nActual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For roles that are available to be filled remotely, base salary is localized according to employee work location. Please discuss your intended work location with your recruiter for more information. \n \nDoorDash cares about you and your overall well-being, and that’s why we offer a comprehensive benefits package, for full-time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others. \n \nIn addition to base salary, the compensation package for this role also includes opportunities for equity grants.\n\n \n\nWe use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using [Covey Scout for Inbound](https://getcovey.com/product/covey-scout-inbound) on June 20, 2024.\n\nPlease see the independent bias audit report covering our use of Covey [here](https://getcovey.com/nyc-local-law-144).\n\nCalifornia Pay Range:$140,100—$210,100 USDNew York Pay Range:$140,100—$210,100 USDWashington Pay Range:$140,100—$210,100 USD\n\n","jobType":"full-time","liveStartAt":1705970734,"locationNames":["Los Angeles","New York City","Seattle","San Francisco","Sunnyvale"],"primaryRoleTitle":"Machine Learning Engineer","remote":false,"slug":"machine-learning-engineer-new-verticals","title":"Machine Learning Engineer - New Verticals","compensation":"$140k – $210k","yearsExperienceMin":null,"yearsExperienceMax":null,"id":"2903746","isBookmarked":false},"JobListingSearchResult:2905313":{"__typename":"JobListingSearchResult","autoPosted":true,"atsSource":null,"description":"# **About the Team**\n\nCome help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop the AI/ML to power DoorDash expand Merchant selection and growing Merchants. \n\n# **About the Role**\n\nWe’re looking for a passionate Applied Machine Learning expert to join our team. In this role, you will utilize our robust data and machine learning infrastructure to build recommendation system, and implementing new AI solutions to expand restaurants selection and drive their growth. You’ll be conceptualizing, designing, and evaluating A/ML solution. You will be expected to demonstrate a strong command of production-level machine learning, a passion to collaborate with multi-disciplinary teams to set the strategy and execute to grow our business.\n\n**You’re excited about this opportunity because you will…**\n\n- Develop production machine learning solutions, which is a central intelligence to power multiple teams including Sales Operation, Product, and Marketing\n- Partner with engineering and product leaders to help shape the product roadmap leveraging AI/ML.\n- Own the modeling life cycle end-to-end including feature creation, model development and deployement, experimentation, monitoring and explainability, and model maintenance.\n- Find new ways to use diverse data sources, and modeling techniques, such as NLP, ranking, personalization, image classification, and entity resolution to touch base with merchants at the right time and provide AI driven world class merchant experience.\n\nYou can find out more on our ML blog [here](https://doordash.engineering/category/data-science-and-machine-learning/)\n\n# **We’re excited about you because you have…**\n\n- 1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impact\n- Expertise in applied ML for Causal Inference and Recommendation Systems - both classical and deep learning based. Additional familiarity with experimentation, computer vision, and LLMs!\n- M.S., or PhD. in Statistics, Computer Science, Economics, Math, Operations Research, Physics, or other quantitative fields.\n- Ability to communicate technical details to nontechnical stakeholders\n- Strong machine learning background in Python; experience with Spark, PyTorch or TensorFlow preferred.\n- Familiarity with Kotlin/Scala.\n- You keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double down\n- The desire for impact with a growth-minded and collaborative mindset\n\n# **About DoorDash**\n\nAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. \n\nDoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.\n\n# **Our Commitment to Diversity and Inclusion**\n\nWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. \n\nStatement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.\n\nPursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.\n\nIf you need any accommodations, please inform your recruiting contact upon initial connection.\n\n# **Compensation**\n\nThe location-specific base salary range for this position is listed below. Compensation in other geographies may vary. \n \nActual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For roles that are available to be filled remotely, base salary is localized according to employee work location. Please discuss your intended work location with your recruiter for more information. \n \nDoorDash cares about you and your overall well-being, and that’s why we offer a comprehensive benefits package, for full-time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others. \n \nIn addition to base salary, the compensation package for this role also includes opportunities for equity grants.\n\n \n \n\nWe use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using [Covey Scout for Inbound](https://getcovey.com/product/covey-scout-inbound) on June 20, 2024.\n\nPlease see the independent bias audit report covering our use of Covey [here](https://getcovey.com/nyc-local-law-144).\n\nCalifornia Pay Range:$140,100—$210,100 USDNew York Pay Range:$140,100—$210,100 USDWashington Pay Range:$140,100—$210,100 USD\n\n","jobType":"full-time","liveStartAt":1706057310,"locationNames":["New York City","Seattle","San Francisco","Sunnyvale"],"primaryRoleTitle":"Machine Learning Engineer","remote":false,"slug":"applied-machine-learning-engineer-causal-inference-recommendation","title":"Applied Machine Learning Engineer - Causal Inference Recommendation","compensation":"$140k – $210k","yearsExperienceMin":null,"yearsExperienceMax":null,"id":"2905313","isBookmarked":false},"StartupResult:271485":{"__typename":"StartupResult","id":"271485","badges":[{"__ref":"Badge:B2C-271485"},{"__ref":"Badge:COMPANY_STAGE-271485"},{"__ref":"Badge:TOP_INVESTORS-271485"},{"__ref":"Badge:YC-271485"}],"companySize":"SIZE_1001_5000","highConcept":"Your favorite restaurants, delivered","highlightedJobListings":[{"__ref":"JobListingSearchResult:2983187"},{"__ref":"JobListingSearchResult:2903746"},{"__ref":"JobListingSearchResult:2905313"}],"logoUrl":"https://photos.wellfound.com/startups/i/271485-0323baf5a3b7d6dc76ab970febe7bcbf-medium_jpg.jpg?buster=1589507555","name":"DoorDash","slug":"doordash"},"Badge:TOP_RESPONDER-9991295":{"__typename":"Badge","id":"TOP_RESPONDER-9991295","name":"TOP_RESPONDER_BADGE","label":"Top 10% of responders","tooltip":"Argo Labs is in the top 10% of companies in terms of response time to applications","avatarUrl":null,"rating":null,"data":null},"Badge:QUICK_RESPONDER-9991295":{"__typename":"Badge","id":"QUICK_RESPONDER-9991295","name":"QUICK_RESPONDER_BADGE","label":"Responds within three weeks","tooltip":"Based on past data, Argo Labs usually responds to incoming applications within three weeks","avatarUrl":null,"rating":null,"data":null},"Badge:B2B-9991295":{"__typename":"Badge","id":"B2B-9991295","name":"B2B_BADGE","label":"B2B","tooltip":null,"avatarUrl":null,"rating":null,"data":null},"Badge:COMPANY_STAGE-9991295":{"__typename":"Badge","id":"COMPANY_STAGE-9991295","name":"COMPANY_STAGE_BADGE","label":"Early Stage","tooltip":"Startup in initial stages","avatarUrl":null,"rating":null,"data":"early_stage"},"JobListingSearchResult:3072336":{"__typename":"JobListingSearchResult","autoPosted":false,"atsSource":"AtsIntegration::Ashby::Listing","description":"# About Argo Labs\n\nWe are a generative AI startup. Our mission is to build experiences with applied AI that fundamentally challenge the way humanity interacts with technology. In this incredible moment of technological revolution, Argo Labs will drive surplus from the productive outputs of these technological breakthroughs into the hands of the many.\n\n# Why Conversational AI? \n\nWe believe that Conversational AI agents are the gateway to building truly intuitive technological interfaces. As one of the highest bandwidth forms of bidirectional information exchange (second only to BMIs), voice interfaces will enable the next generation of era-defining technologies. Argo Labs is at the forefront of this transformation, creating solutions that will reshape how we communicate, work, and interact with the world around us.\n\n# About the role\n\nAs a Machine Learning Engineer at Argo Labs, you will be at the forefront of developing, designing, and implementing innovative machine learning solutions that drive our products forward. You will design and deploy machine learning models to solve complex real-world problems.\n\n# What you’ll do\n\n- Design and implement cutting-edge ML models that solve real-world problems.\n\n- Transform cutting-edge research into practical applications.\n\n- Work closely with researchers, software engineers, and product managers to tackle complex challenges\n\n- Develop scalable data pipelines and fine-tune models for optimal performance.\n\n- Ensure our AI agents are robust, efficient, and ready for production environments.\n\n- Participate in code reviews, knowledge sharing, and maintain high engineering standards.\n\n- Monitor and improve deployed models to enhance user experiences. Your work will directly shape the future of human-AI interaction.\n\n- Stay current with AI advancements\n\n# You might be a good fit if you\n\n- Have a Master's or PhD in Computer Science, Machine Learning, or have done significant work in Machine Learning.\n\n- 2+ years of relevant industry experience in a fast paced, high growth tech environment.\n\n- Possess strong experience with deep learning and transformer models.\n\n- Are proficient in PyTorch or TensorFlow.\n\n- Have a solid foundation in data structures, algorithms, and software engineering principles.\n\n- Are familiar with large language models, including training, fine-tuning, and optimization techniques.\n\n- Have experience with or interest in conversational AI, dialogue systems, or natural language processing.\n\n- Demonstrate excellent problem-solving skills and a proactive approach to challenges.\n\n- Can collaborate effectively with cross-functional teams.\n\n- Enjoy owning problems end-to-end and are eager to acquire new skills as needed.\n\n- Will thrive in a fast-paced, dynamic, early-stage startup environment.\n\n- (Bonus) Have first-hand experience building an early-stage startup.\n\n# What we offer\n\n- Interesting work in the most exciting field in tech.\n\n- Ownership of fascinating and challenging problems.\n\n- Work close with the CEO and founding team.\n\n- Competitive salary \u0026 equity.\n\n- Dynamic, tight-knit community.\n\n- Flexible work hours.\n\nWe are an equal opportunity employer. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. \n\n# Join Us!\n\nArgo Labs is headquartered in New York City. We strongly prefer candidates who are able to work in person at our Manhattan office in FiDi (Financial District). Become an Argonaut and work with us to solve some of the most pressing technological and social challenges of our time.\n\n","jobType":"full-time","liveStartAt":1722425902,"locationNames":["New York"],"primaryRoleTitle":"Machine Learning Engineer","remote":false,"slug":"machine-learning-engineer-applied-ai","title":"Machine Learning Engineer, Applied AI","compensation":"$100k – $180k","yearsExperienceMin":null,"yearsExperienceMax":null,"id":"3072336","isBookmarked":false},"JobListingSearchResult:3072337":{"__typename":"JobListingSearchResult","autoPosted":false,"atsSource":"AtsIntegration::Ashby::Listing","description":"# About Argo Labs\n\nWe are a generative AI startup. Our mission is to build experiences with applied AI that fundamentally challenge the way humanity interacts with technology. In this incredible moment of technological revolution, Argo Labs will drive surplus from the productive outputs of these technological breakthroughs into the hands of the many.\n\n# Why Conversational AI? \n\nWe believe that Conversational AI agents are the gateway to building truly intuitive technological interfaces. As one of the highest bandwidth forms of bidirectional information exchange (second only to BMIs), voice interfaces will enable the next generation of era-defining technologies. Argo Labs is at the forefront of this transformation, creating solutions that will reshape how we communicate, work, and interact with the world around us.\n\n# About the role\n\nAs a Machine Learning Engineer at Argo Labs, you will be at the forefront of developing, designing, and implementing innovative machine learning solutions that drive our products forward. You will design and deploy machine learning models to solve complex real-world problems.\n\n# What you’ll do\n\n- Design and implement cutting-edge ML models that solve real-world problems.\n\n- Transform cutting-edge research into practical applications.\n\n- Work closely with researchers, software engineers, and product managers to tackle complex challenges\n\n- Develop scalable data pipelines and fine-tune models for optimal performance.\n\n- Ensure our AI agents are robust, efficient, and ready for production environments.\n\n- Participate in code reviews, knowledge sharing, and maintain high engineering standards.\n\n- Monitor and improve deployed models to enhance user experiences. Your work will directly shape the future of human-AI interaction.\n\n- Stay current with AI advancements\n\n# You might be a good fit if you\n\n- Have a Master's or PhD in Computer Science, Machine Learning, or have done significant work in Machine Learning.\n\n- 5+ years of relevant industry experience in a fast paced, high growth tech environment.\n\n- Possess strong experience with deep learning and transformer models.\n\n- Are proficient in PyTorch or TensorFlow.\n\n- Have a solid foundation in data structures, algorithms, and software engineering principles.\n\n- Are familiar with large language models, including training, fine-tuning, and optimization techniques.\n\n- Have experience with or interest in conversational AI, dialogue systems, or natural language processing.\n\n- Demonstrate excellent problem-solving skills and a proactive approach to challenges.\n\n- Can collaborate effectively with cross-functional teams.\n\n- Enjoy owning problems end-to-end and are eager to acquire new skills as needed.\n\n- Will thrive in a fast-paced, dynamic, early-stage startup environment.\n\n- (Bonus) Have first-hand experience building an early-stage startup.\n\n# What we offer\n\n- Interesting work in the most exciting field in tech.\n\n- Ownership of fascinating and challenging problems.\n\n- Work close with the CEO and founding team.\n\n- Competitive salary \u0026 equity.\n\n- Dynamic, tight-knit community.\n\n- Flexible work hours.\n\nWe are an equal opportunity employer. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. \n\n# Join Us!\n\nArgo Labs is headquartered in New York City. We strongly prefer candidates who are able to work in person at our Manhattan office in FiDi (Financial District). Become an Argonaut and work with us to solve some of the most pressing technological and social challenges of our time.\n\n","jobType":"full-time","liveStartAt":1722425904,"locationNames":["New York"],"primaryRoleTitle":"Machine Learning Engineer","remote":false,"slug":"senior-machine-learning-engineer-applied-ai","title":"Senior Machine Learning Engineer, Applied AI","compensation":"$160k – $320k","yearsExperienceMin":null,"yearsExperienceMax":null,"id":"3072337","isBookmarked":false},"StartupResult:9991295":{"__typename":"StartupResult","id":"9991295","badges":[{"__ref":"Badge:TOP_RESPONDER-9991295"},{"__ref":"Badge:QUICK_RESPONDER-9991295"},{"__ref":"Badge:B2B-9991295"},{"__ref":"Badge:COMPANY_STAGE-9991295"}],"companySize":"SIZE_1_10","highConcept":"Conversational AI Agents for Restaurants","highlightedJobListings":[{"__ref":"JobListingSearchResult:3072336"},{"__ref":"JobListingSearchResult:3072337"}],"logoUrl":"https://photos.wellfound.com/startups/i/9991295-32b0c4302a9b78ce5182f89399b4a6c4-medium_jpg.jpg?buster=1722353521","name":"Argo Labs","slug":"argo-labs-2"},"JobListingSearchResult:3135882":{"__typename":"JobListingSearchResult","autoPosted":false,"atsSource":"AtsIntegration::Greenhouse::Listing","description":"**About the team**\n\nAngi is seeking an exceptional Staff Machine Learning Engineer who can enable our transformation into a world-class online marketplace. The role is in our Data Science and Machine Learning team, tackling challenges such as homeowner-pro matching, search ranking, and using predictive models to optimize our product and consumer experience. This is a technical leadership role where you will apply state-of-the-art machine learning and AI techniques such as LLMs and neural rankers to both structured and unstructured data. In addition to developing models, we’re also looking for someone who can deploy them at large scale with low latencies to serve our customers dynamically.\n\n**What you’ll do**\n\n- Model Development \u0026 Data Strategy: Lead development of machine learning models and algorithms to improve our search ranking and how we match consumers with pros. Success in these areas will impact user experience \u0026 engagement, retention, and conversion rates - critical metrics for business success.\n- Model Deployment \u0026 MLOps: Implement robust MLOps practices to ensure the seamless deployment and scalability of machine learning models. This includes automating model training, versioning, monitoring, and deployment processes to enable fast, reliable delivery of machine learning solutions into production environments.\n- Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, data scientists, product managers, and designers to build scalable and high-impact machine learning systems. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services.\n- Innovation: Foster innovation within the team, exploring new approaches and techniques to solve complex business problems.\n- Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage innovation and knowledge sharing to enhance the team's capabilities in advanced machine learning techniques from both industry and academia.\n\n**Who you are**\n\n- You have a Master’s or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields).\n- You have 7+ years of experience in data science \u0026 machine learning, with a focus on real-time ML models, ideally within the tech industry \u0026 marketplace environments.\n- You are an expert in machine learning and deep learning, and have a good working knowledge of large language models.\n- You have a proven track record of deploying highly impactful machine learning models into production environments.\n- You are proficient in SQL and Python, and have experience with cloud ML solutions.\n- You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders.\n\n**We value diversity**\n\nWe know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.\n\n**Compensation \u0026 Benefits**\n\n- The salary band for this position ranges from $200,000 - $280,000 commensurate with experience and performance. Compensation may vary based on factors such as cost of living.\n- This position will be eligible for a competitive year end performance bonus \u0026 equity package.\n- Full medical, dental, vision package to fit your needs\n- Flexible vacation policy; work hard and take time when you need it\n- Pet discount plans \u0026 retirement plan with company match (401K)\n- The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world\n\n#LI-Remote \n#BI-Remote\n\n","jobType":"full-time","liveStartAt":1729891356,"locationNames":["New York"],"primaryRoleTitle":"Machine Learning Engineer","remote":true,"slug":"staff-machine-learning-engineer","title":"Staff Machine Learning Engineer","compensation":"","yearsExperienceMin":null,"yearsExperienceMax":null,"id":"3135882","isBookmarked":false},"StartupResult:161962":{"__typename":"StartupResult","id":"161962","badges":[{"__ref":"Badge:ACTIVELY_HIRING"}],"companySize":"SIZE_1001_5000","highConcept":"We’re on a mission to help everyone love where they live","highlightedJobListings":[{"__ref":"JobListingSearchResult:3135882"}],"logoUrl":"https://photos.wellfound.com/startups/i/161962-9b10857eda34db953f5973885b2633a5-medium_jpg.jpg?buster=1710773715","name":"Angi","slug":"angi-home"},"Badge:B2C-32171":{"__typename":"Badge","id":"B2C-32171","name":"B2C_BADGE","label":"B2C","tooltip":null,"avatarUrl":null,"rating":null,"data":null},"Badge:COMPANY_STAGE-32171":{"__typename":"Badge","id":"COMPANY_STAGE-32171","name":"COMPANY_STAGE_BADGE","label":"Scale Stage","tooltip":"Rapidly increasing operations","avatarUrl":null,"rating":null,"data":"scale_stage"},"Badge:VALUATION_1B-32171":{"__typename":"Badge","id":"VALUATION_1B-32171","name":"VALUATION1B_BADGE","label":"Valuation $1B+","tooltip":"This company has a valuation of $1B or more","avatarUrl":null,"rating":null,"data":null},"Badge:WORK_LIFE_BALANCE-32171":{"__typename":"Badge","id":"WORK_LIFE_BALANCE-32171","name":"WORK_LIFE_BALANCE_BADGE","label":"Work / Life Balance","tooltip":"Employees rate FanDuel 4.4/5 on Glassdoor for work / life balance","avatarUrl":null,"rating":"4.4","data":null},"JobListingSearchResult:3145051":{"__typename":"JobListingSearchResult","autoPosted":true,"atsSource":null,"description":"**ABOUT FANDUEL**\n\nFanDuel Group (“FanDuel\") is an innovative sports-tech entertainment company that is changing the way consumers engage with their favorite sports, teams, and leagues. The premier gaming destination in the United States, FanDuel consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-deposit wagering, and TV/media.\n\nFanDuel has a presence across all 50 states with approximately 17 million customers and 28 retail locations. FanDuel is based in New York with offices in New Jersey , Georgia, California, Oregon, Canada and Scotland.\n\nIts networks FanDuel TV and FanDuel+ are broadly distributed on linear cable television and through its relationships with leading direct-to-consumer over-the-top platforms.\n\nFanDuel Group is a subsidiary of Flutter Entertainment plc, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).\n\n**THE ROSTER**\n\nAt FanDuel, we give fans a new and innovative way to interact with their favorite games, sports and teams. We’re dedicated to building a winning team and we pride ourselves on being able to make every moment mean more, especially when it comes to your career. So, what does “winning” look like at FanDuel? It’s recognition for your hard-earned results, a culture that brings out your best work—and a roster full of talented coworkers. Make no mistake, we are here to win, but we believe in winning right. That means we’ll never compromise when it comes to looking out for our teammates. From creatives professionals to cutting edge technology innovators, FanDuel offers a wide range of career opportunities, best in class benefits, and the tools to explore and grow into your best selves. At FanDuel, our principle of “We Are One Team” runs through all our offices across the globe, and you can expect to be a part of an exciting company with many opportunities to grow and be successful.\n\n**THE POSITION** \nOur roster has an opening with your name on it\n\nAt FanDuel, data is the heartbeat of our organization. As a Staff ML Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. You will be asked to provide our business with insight and our customers with world-class personalized experiences. Every click our users make, every bet, every touchdown, every fumble, and every play is fair game for us to turn into a stream of knowledge. Your expertise will be used here to make better and faster decisions – outpacing our competition.\n\nCollaboration is at the core of your role. You’ll be the linchpin between engineering teams working downstream to build out our online application and upstream to land necessary data for feature engineering. You’ll also be working with Data Scientists and Analysts to productionize, analyze, and validate AI powered insights. You will be asked to help organize, model, and present our data as a coherent product and offer it to our stakeholders, providing a common information framework that allows FanDuel to intelligently react to what is happening on the field and in the marketplace. \n\nWe are looking for experienced ML Engineers who may be looking to make the move to a big data environment. If this describes you, read on – we want to hear from you!\n\n**THE GAME PLAN** \nEveryone on our team has a part to play\n\n- Building and scaling multi-layer serving architectures for ML and GenAI/LLM models\n- Developing platform features and capabilities (e.g. CLI, SDK, Infra Automation,Platform Applications) for streamlining model development and deployment lifecycle\n- Business intelligence tools (e.g., Tableau, Knime, Looker)\n- Data security and privacy (e.g. GDPR, CPP)\n- Data governance and data testing frameworks.\n- Continuous integration and delivery of production data products\n- An inclusive culture that expects excellence and priorities your growth as an engineer and your well-being as a person\n- Advance your career within well-defined, skill-based tracks, either as an individual contributor or as a manager – both providing equal opportunities for compensation and advancement\n- Apply your experience and intellect as part of an autonomous team with end-to-end ownership of key components of our data architecture.\n- Serve as a mentor to more junior engineers not only in cultivating craftsmanship but also in achieving operational excellence – system reliability, automation, data quality, and cost-efficiency.\n\nML engineering is a rapidly changing field – most of all, we’re looking for someone who enjoys experimenting, keeping their finger on the pulse of current data engineering tools, and always thinking about how to do something better.\n\n**THE STATS** \nWhat we're looking for in our next teammate\n\n- 5-7+ years of relevant experience developing code in one or more core programming languages (Python, Java, etc.)\n- 7+ Years of experience in deploying ML and GenAI/LLM models under the constraints of scalability, correctness, and maintainability.\n - Hands on experience with ML frameworks and libraries (Scikit-learn, Pytorch, Tensorflow, LightGBM, Keras, MLflow etc.) and familiarity with LLM-specific frameworks (e.g., Langchain, Hugging Face Transformers, etc.)\n - Hands on experience with one or more ML and GenAI/LLM cloud services (Amazon SageMaker, Amazon Bedrock, Databricks Mosaic AI, Seldon, Arize, etc)\n- 5+ Years of experience designing and building various software architecture with some emphasis on scalable architectures supporting both traditional ML and advanced LLM workflows. \n - Deep understanding and knowledge of data structures, distributed computing, and software engineering principles\n- 4-5+ Years of experience demonstrating technical leadership working with teams, owning projects, defining, and setting technical direction for projects.\n- Experience with one or more relevant tools (Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis, Terraform, Airflow)\n- Ability to share findings in easy to consume formats, whether that is through dashboards or data modeling.\n- Conduct regular design process reviews and ensure development standards within the team.\n- Working with leadership to drive adoption of ML and GenAI/LLM solutions to product engineering teams.\n- Experience working in a cloud environment such as AWS, GCP, Azure.\n- Experience with Databricks is a plus, their unity catalog, another plus.\n- Designing and building data pipelines for production level ML and GenAI/LLM infrastructure.Experience with vector databases to efficiently manage and retrieve embeddings for LLM applications, enabling high-performance similarity search and retrieval-augmented generation (RAG) workflows is a plus\n- Motivate junior engineers on best practices and latest industry design patterns.\n\n**PLAYER BENEFITS** \nWe treat our team right\n\nFrom our many opportunities for professional development to our generous insurance and paid leave policies, we’re committed to making sure our employees get as much out of FanDuel as we ask them to give. Competitive compensation is just the beginning. As part of our team, you can expect:\n\n- An exciting and fun environment committed to driving real growth\n- Opportunities to build really cool products that fans love\n- Mentorship and professional development resources to help you refine your game\n- Be well, save well and live well - with FanDuel Total Rewards your benefits are one highlight reel after another\n\nFanDuel is an equal opportunities employer and we believe, as one of our principal states, “We Are One Team!” We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, Veteran status, or another other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included. We want our team to include diverse individuals because diversity of thought, diversity of perspectives, and diversity of experiences leads to better performance. Having a diverse and inclusive workforce is a core value that we believe makes FanDuel stronger and more competitive as One Team!\n\n***The applicable salary range for this position is $158,000-$208,000, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.***\n\n \n\n#LI-Hybrid\n\n","jobType":"full-time","liveStartAt":1730940031,"locationNames":["New York"],"primaryRoleTitle":"Machine Learning Engineer","remote":false,"slug":"staff-machine-learning-engineer-ml-ai-platforms","title":"Staff Machine Learning Engineer- ML/AI Platforms","compensation":"$158k – $208k","yearsExperienceMin":null,"yearsExperienceMax":null,"id":"3145051","isBookmarked":false},"JobListingSearchResult:3125124":{"__typename":"JobListingSearchResult","autoPosted":true,"atsSource":null,"description":"**ABOUT FANDUEL**\n\nFanDuel Group (“FanDuel\") is an innovative sports-tech entertainment company that is changing the way consumers engage with their favorite sports, teams, and leagues. The premier gaming destination in the United States, FanDuel consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-deposit wagering, and TV/media. \n\nFanDuel has a presence across all 50 states with approximately 17 million customers and 28 retail locations. FanDuel is based in New York with offices in New Jersey, Georgia, California, Oregon, Canada and Scotland.\n\nIts networks FanDuel TV and FanDuel+ are broadly distributed on linear cable television and through its relationships with leading direct-to-consumer over-the-top platforms.\n\nFanDuel Group is a subsidiary of Flutter Entertainment plc, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).\n\n**THE ROSTER** \nAt FanDuel, we give fans a new and innovative way to interact with their favorite games, sports and teams. We’re dedicated to building a winning team and we pride ourselves on being able to make every moment mean more, especially when it comes to your career. So, what does “winning” look like at FanDuel? It’s recognition for your hard-earned results, a culture that brings out your best work—and a roster full of talented coworkers. Make no mistake, we are here to win, but we believe in winning right. That means we’ll never compromise when it comes to looking out for our teammates. From creatives professionals to cutting edge technology innovators, FanDuel offers a wide range of career opportunities, best in class benefits, and the tools to explore and grow into your best selves. At FanDuel, our principle of “We Are One Team” runs through all our offices across the globe, and you can expect to be a part of an exciting company with many opportunities to grow and be successful.\n\n**THE POSITION** \nOur roster has an opening with your name on it\n\nAs a Senior Software Engineer within FanDuel’s Trading Solutions team, you will be an essential part of a cross functional agile team that directly impacts our business. You will work collaboratively with a team to implement creative, high-quality solutions, scope effort and timelines, and balance priorities of our stakeholders and engineering needs. This team will work closely to deliver exceptionally high-quality software, while taking pride and ownership in testing, deploying, monitoring, and maintaining that software. **Our engineers own every part of the software delivery lifecycle**. \n\nYou will work directly with quantitative analysts at FanDuel to improve the major US sports platforms. You will be a domain expert on price modeling implementation and how that fits into the larger Risk and Trading landscape. You will go beyond the senior software developer role, and will be called upon to identify opportunities yourself in the quantitative space to innovate through technology.\n\n**THE GAME PLAN** \nEveryone on our team has a part to play \n \nYou are a significant and autonomous contributor. Your work is consistently of high quality. You solve difficult problems, applying appropriate technologies and best practices. You work with your team to invent, design and build software that is stable and performant. You are proficient in a broad range of design approaches and know when it is appropriate to use them and when it is not. Your solutions are pragmatic. You consider the legacy of the code you produce and write code that an SDE unfamiliar with the system can understand. You limit the use of short-term workarounds. You do things with the proper level of complexity the first time (or at least minimize incidental complexity). You create flexible software without over-engineering. You make appropriate trade-offs, re-use where possible, and are judicious about introducing dependencies. You are efficient with resource usage (e.g., system hardware, database, memory/CPU, etc).\n\nWe are looking for engineers to actively engage in technical discussions, assist in designing and implementing solutions, pair program with our more junior engineers, and deliver constant improvements to our systems. We want you to be excited about constantly learning and driving your professional development. You should have most, or all, of the following skills: \n\n- Experience in quantitative modeling and coding; assisting in creating models and productionalizing software, with a focus on innovation in software development and machine learning.\n- Own parts of product and technology \u0026 become subject matter experts\n- Write simple, extendable code following standards and best practices; test thoroughly\n- Actively participate in the code review process, design discussions, team planning, and ticket/metric/COE reviews\n- You classify, store, and handle data in accordance with FanDuel policies\n- Track, mitigate, and escalate security risks promptly; focus on operational excellence by identifying problems and proposing solutions\n- You can train new teammates on how your team’s software is built, how it operates, its security features and how it fits into the bigger picture\n- Address the root causes of complex problems, enhancing the software's maintainability and overall quality\n- On-call rotation where required. You provide excellent customer support\n- Most importantly, you are; humble, pragmatic, self-managed, thirsty for knowledge, never satisfied and always challenging the norm. Responsible for the state of the code you both inherit and produce\n\n**THE STATS** \nWhat we're looking for in our next teammate\n\n- Degree in Computer Science, Data Science, Engineering, Mathematics, Physics, or a related field.\n- 5+ years in software development in Engineering, Machine Learning, Data Science, Finance Engineering, or Statistics\n- Proficient in a modern OOP language (C# preferred).\n- Strong grasp of data structures and algorithms\n- Knowledge of performance, hardware, and memory management (C, C++, or Rust beneficial).\n- Experience working with cloud-based infrastructure and technologies, preferably AWS with API gateway/workflow orchestration/lambda/serverless applications\n- Experience with testing concepts, test tools, and integrating testing and best practices in the SDLC\n- Knowledge of Infrastructure as Code, notably Terraform, Helm and streaming tech (Kafka preferred)\n- Proficiency in translating requirements into design and developing applications.\n- Understanding of containers (Docker) and orchestration (Kubernetes).\n- Proven ability in operational excellence and on-call support\n\n**PLAYER BENEFITS** \nWe treat our team right\n\nFrom our many opportunities for professional development to our generous insurance and paid leave policies, we’re committed to making sure our employees get as much out of FanDuel as we ask them to give. Competitive compensation is just the beginning. As part of our team, you can expect:\n\n- An exciting and fun environment committed to driving real growth\n- Opportunities to build really cool products that fans love\n- Career and professional development resources to help you refine your game plan for owning and driving your career and development\n- Be well, save well and live well - with FanDuel Total Rewards your benefits are one highlight reel after another\n\nFanDuel is an equal opportunities employer and we believe, as one of our principal states, “We Are One Team!” We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, Veteran status, or another other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included. We want our team to include diverse individuals because diversity of thought, diversity of perspectives, and diversity of experiences leads to better performance. Having a diverse and inclusive workforce is a core value that we believe makes FanDuel stronger and more competitive as One Team!\n\n***The applicable salary range for this position is $126,000 - $175,000, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.***\n\n \n\n#LI-Hybrid\n\n","jobType":"full-time","liveStartAt":1728693278,"locationNames":["New York"],"primaryRoleTitle":"Software Engineer","remote":false,"slug":"senior-software-engineer-quantitative","title":"Senior Software Engineer, Quantitative","compensation":"$126k – $175k","yearsExperienceMin":null,"yearsExperienceMax":null,"id":"3125124","isBookmarked":false},"StartupResult:32171":{"__typename":"StartupResult","id":"32171","badges":[{"__ref":"Badge:ACTIVELY_HIRING"},{"__ref":"Badge:B2C-32171"},{"__ref":"Badge:COMPANY_STAGE-32171"},{"__ref":"Badge:VALUATION_1B-32171"},{"__ref":"Badge:WORK_LIFE_BALANCE-32171"}],"companySize":"SIZE_201_500","highConcept":"FanDuel is America's #1 Sportsbook. 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Our experienced data scientists and machine learning engineers are developing solutions related to discovery, ranking, search, recommendations, ads, logistics, underwriting, and more - all with the goal of helping local retail thrive. \n\nAs a member of the Discovery Data team you’ll be responsible for one of the following areas: \n\n- **Search**: Optimizing search through query understanding, retrieval, ranking, post-ranking and whole-page optimization with state-of-art technologies including embeddings, graph learning, deep learning and large language models (LLMs).\n- **Personalization**: Personalizing recommendation surfaces through embeddings, near-real-time / streaming signals, explore-exploit, and diversification.\n- **Ads / Sponsored Products**: Joining a newly established team building Ads Delivery and Advertiser Optimization from the ground up and tackling challenges in ads targeting, retrieval, prediction/ranking, bidding, pacing, and auction design.\n\nOur team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, LinkedIn and Pinterest. We're a lean, talented team with high opportunity for direct product impact and ownership. \n\n**You’re excited about this role because…**\n\n- You’ll be able to work on cutting-edge search / personalization / ads problems combining a wide variety of data about our retailers, brands and products\n- You want to use machine learning to help local retailers and independent brands succeed\n- You want to be a foundational team member of a fast growing company\n- You like to solve challenging problems related to a two-sided marketplace\n\n**Qualifications**\n\n- Experience with leading cross-team and cross-functional technical strategy and roadmap, solving long-term open-ended problems, and consistently driving significant business impact for the whole org.\n- 5+ years of industry experience using machine learning to solve real-world problems\n- Experience and strong understanding of search / personalization / ads for product development\n- Strong programming skills\n- An excitement and willingness to learn new tools and techniques\n- Experience with deep learning\n- The ability to contribute to team strategy and to lead model development without supervision\n- Strong communication skills and the ability to work with others in a closely collaborative team environment\n\n**Great to Haves:**\n\n- Highly recommended: Master’s or PhD in Computer Science, Statistics, or related STEM fields\n- Ability to quickly implement state of the art algorithms from an academic paper\n\n**Salary Range:**\n\nNew York City: the pay range for this role is $209,500 to $288,000 per year.\n\nThis role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. \n\n","jobType":"full-time","liveStartAt":1732051126,"locationNames":["New York City"],"primaryRoleTitle":"Machine Learning Engineer","remote":false,"slug":"staff-data-scientist-machine-learning-engineer-search-personalization-ads","title":"Staff Data Scientist / Machine Learning Engineer - Search, Personalization, Ads","compensation":"$210k – $288k","yearsExperienceMin":null,"yearsExperienceMax":null,"id":"3082057","isBookmarked":false},"JobListingSearchResult:3073161":{"__typename":"JobListingSearchResult","autoPosted":false,"atsSource":"AtsIntegration::Greenhouse::Listing","description":"**About the Role:**\n\nFaire is using machine learning to change wholesale and help local retailers compete with Amazon and big box stores. Our experienced data scientists and machine learning engineers are developing solutions related to discovery, ranking, search, recommendations, ads, logistics, underwriting, and more - all with the goal of helping local retail thrive. \n\nAs a member of the Discovery Data team you’ll be responsible for one of the following areas: \n\n- **Search**: Optimizing search through query understanding, retrieval, ranking, post-ranking and whole-page optimization with state-of-art technologies including embeddings, graph learning, deep learning and large language models (LLMs).\n- **Personalization**: Personalizing recommendation surfaces through embeddings, near-real-time / streaming signals, explore-exploit, and diversification.\n- **Ads / Sponsored Products**: Joining a newly established team building Ads Delivery and Advertiser Optimization from the ground up and tackling challenges in ads targeting, retrieval, prediction/ranking, bidding, pacing, and auction design.\n\nOur team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, LinkedIn and Pinterest. We're a lean, talented team with high opportunity for direct product impact and ownership. \n\n**You’re excited about this role because…**\n\n- You’ll be able to work on cutting-edge search / personalization / ads problems combining a wide variety of data about our retailers, brands and products\n- You want to use machine learning to help local retailers and independent brands succeed\n- You want to be a foundational team member of a fast growing company\n- You like to solve challenging problems related to a two-sided marketplace\n\n**Qualifications:**\n\n- 4 years of industry experience using machine learning to solve real-world problems\n- Experience and strong understanding of search / personalization / ads for product development\n- Strong programming skills\n- An excitement and willingness to learn new tools and techniques\n- Experience with deep learning\n- The ability to contribute to team strategy and to lead model development without supervision\n- Strong communication skills and the ability to work with others in a closely collaborative team environment\n\n**Great to Haves:**\n\n- Highly recommended: Master’s or PhD in Computer Science, Statistics, or related STEM fields\n- Ability to quickly implement state of the art algorithms from an academic paper\n\n**Salary Range:**\n\nNew York City: the pay range for this role is $177,500 - $244,000 per year.\n\nThis role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. 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Over 10 million creators and businesses have used Captions to create videos for social media, marketing, sales, and more. We're on a mission to serve the next billion.\n\nWe are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. You'll join an early team and have an outsized impact on the product and the company's culture.\n\nWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures (Series C lead), Kleiner Perkins (Series B lead), Sequoia Capital (Series A and Seed co-lead), Andreessen Horowitz (Series A and Seed co-lead), Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.\n\nCheck out our [latest financing milestone](https://www.bloomberg.com/news/articles/2024-07-09/ai-video-startup-is-valued-at-500-million-in-new-funding-round) and some other coverage:\n\n**The Information:** [50 Most Promising Startups](https://www.theinformation.com/video/511)\n\n**Fast Company:** [Next Big Things in Tech](https://www.fastcompany.com/next-big-things-in-tech/list)\n\n**The New York Times:** [When A.I. Bridged a Language Gap, They Fell in Love](https://www.nytimes.com/2024/02/09/style/ai-language-dubbing-app.html)\n\n**Business Insider:** [34 most promising AI startups](https://www.businessinsider.com/the-most-promising-artificial-intelligence-startups-of-2023-2023-8)\n\n**Time:** [The Best Inventions of 2024](https://time.com/7094926/captions/)\n\n*****Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square)*** ******\n\n**Overview**\n\nCaptions seeks an exceptional Machine Learning Engineer to drive innovation in training data infrastructure. You'll conduct research on and develop sophisticated distributed training workflows and optimized data processing systems for massive video and multimodal datasets. Beyond pure performance, you'll develop deep insight into our data to maximize training effectiveness. As an early member of our ML Research team, you'll build foundational systems that directly impact our ability to train models powering video and multimodal creation for millions of users.\n\n**Key Responsibilities**\n\nInfrastructure Development:\n\n- Build performant pipelines for processing video and multimodal training data at scale\n\n- Design distributed systems that scale seamlessly with our rapidly growing video and multimodal datasets\n\n- Create efficient data loading systems optimized for GPU training throughput\n\n- Implement comprehensive telemetry for video processing and training pipelines\n\nCore Systems Development:\n\n- Create foundation data processing systems that intelligently cache and reuse expensive computations across the training pipeline\n\n- Build robust data validation and quality measurement systems for video and multimodal content\n\n- Design systems for data versioning and reproducing complex multimodal training runs\n\n- Develop efficient storage and compute patterns for high-dimensional data and learned representations\n\nSystem Optimization:\n\n- Own and improve end-to-end training pipeline performance\n\n- Build systems for efficient storage and retrieval of video training data\n\n- Build frameworks for systematic data and model quality improvement\n\n- Develop infrastructure supporting fast research iteration cycles\n\n- Build tools and systems for deep understanding of our training data characteristics\n\nResearch \u0026 Product Impact:\n\n- Build infrastructure enabling rapid testing of research hypotheses\n\n- Create systems for incorporating user feedback into training workflows\n\n- Design measurement frameworks that connect model improvements to user outcomes\n\n- Enable systematic experimentation with direct user feedback loops\n\n**Preferred Qualifications:**\n\nTechnical Background:\n\n- Bachelor's or Master's degree in Computer Science, Machine Learning, or related field\n\n- 3+ years experience in ML infrastructure development or large-scale data engineering\n\n- Strong programming skills, particularly in Python and distributed computing frameworks\n\n- Expertise in building and optimizing high-throughput data pipelines\n\n- Proven experience with video/image data pre-processing and feature engineering\n\n- Deep knowledge of machine learning workflows, including model training and data loading systems\n\nSystem Development:\n\n- Track record in performance optimization and system scaling\n\n- Experience with cluster management and distributed computing\n\n- Background in MLOps and infrastructure monitoring\n\n- Demonstrated ability to build reliable, large-scale data processing systems\n\nEngineering Approach:\n\n- Love tackling hard technical problems head-on\n\n- Take ownership while knowing when to loop in teammates\n\n- Get excited about improving system performance\n\n- Want to work directly with researchers and engineers who are equally passionate about building great systems\n\n**Team Culture**\n\nYou'll work directly alongside our research and engineering teams in our NYC office. We've intentionally built a culture where infrastructure and data work is highly valued - your success will be measured by the reliability and performance of our systems, not by your ability to navigate politics. 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You'll join an early team and have an outsized impact on the product and the company's culture.\n\nWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures (Series C lead), Kleiner Perkins (Series B lead), Sequoia Capital (Series A and Seed co-lead), Andreessen Horowitz (Series A and Seed co-lead), Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.\n\nCheck out our [latest financing milestone](https://www.bloomberg.com/news/articles/2024-07-09/ai-video-startup-is-valued-at-500-million-in-new-funding-round) and some other coverage:\n\n**The Information:** [50 Most Promising Startups](https://www.theinformation.com/video/511)\n\n**Fast Company:** [Next Big Things in Tech](https://www.fastcompany.com/next-big-things-in-tech/list)\n\n**The New York Times:** [When A.I. Bridged a Language Gap, They Fell in Love](https://www.nytimes.com/2024/02/09/style/ai-language-dubbing-app.html)\n\n**Business Insider:** [34 most promising AI startups](https://www.businessinsider.com/the-most-promising-artificial-intelligence-startups-of-2023-2023-8)\n\n**Time:** [The Best Inventions of 2024](https://time.com/7094926/captions/)\n\n*****Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square)*** ******\n\n**About the Role:**\n\nOn the surface, Captions enables creators to generate, edit, and post videos to any platform with ease — but behind-the-scenes, we’re building multi-modal foundational models to enable features like text-to-video, avatar generation, video-to-video translation, talking face generation, 3D reconstruction and more. 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Biological, adoptive, and foster parents are all eligible\n- Pre-tax commuter benefits\n- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program\n\n*Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.*\n\n*This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. 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