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Job Application for Research Scientist, Large Scale Pre-Training Data at DeepMind
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This survey should take about 5 minutes to complete.\u003c/p\u003e\n"},"eeoc_data":{"links":{"race_ethnicity_definitions":{"href":"/docs/RaceEthnicityDefinitions.pdf","text":"Race \u0026amp; Ethnicity Definitions"}},"questions":{"gender":"Gender","hispanic_ethnicity":"Are you Hispanic/Latino?","race":"Please identify your race","veteran_status":"Veteran Status","disability_status":"Disability Status","api":{"race":"Race"}},"answers":{"gender":["Male","Female","Decline To Self Identify"],"hispanic_ethnicity":[["Yes","Yes"],["No","No"],["Decline To Self Identify","Decline To Self Identify"]],"race":["American Indian or Alaskan Native","Asian","Black or African American","Hispanic or Latino","White","Native Hawaiian or Other Pacific Islander","Two or More Races","Decline To Self Identify"],"veteran_status":["I am not a protected veteran","I identify as one or more of the classifications of a protected veteran","I don't wish to answer"],"disability_status":["Yes, I have a disability, or have had one in the past","No, I do not have a disability and have not had one in the past","I do not want to answer"]}}}" type="text/configuration"></script><script class="js-metadata" data-key="errorImageSource" data-type="string" data-value="https://boards.cdn.greenhouse.io/assets/svg/error-69893c3b3f8f27477ac24dbcb3d8e569fcc265882e77cd464d2bad69dd7d3918.svg" type="text/configuration"></script> <meta property="og:title" content="Research Scientist, Large Scale Pre-Training Data"></meta> <meta property="og:description" content="London, UK"></meta> <meta property="og:url" content="https://boards.greenhouse.io/deepmind/jobs/6400234"></meta> <meta property="og:image" content="https://recruiting.cdn.greenhouse.io/external_greenhouse_job_boards/logos/000/006/827/original/google_deepmind__og_01.png?1708945361"></meta> <meta property="og:type" content="article"></meta> <link rel="stylesheet" media="screen" href="https://www.gstatic.com/deepmind_website/job.css" /> </head> <body> <div id="wrapper"> <div id="main" class="accessible"> <script class="js-metadata" data-key="JBEN.FormControl.maxFileSizeMb" data-type="number" data-value="100" type="text/configuration"></script><script class="js-metadata" data-key="JBEN.GeocodeEarthProxyUrl" data-type="string" data-value="https://api.geocode.earth/" type="text/configuration"></script> <div id='app_body' style='padding-left:20px'> <div class="logo-container"> <div id="logo"><a target="_blank" href="https://deepmind.com/careers/jobs"><img alt="DeepMind Logo" src="https://recruiting.cdn.greenhouse.io/external_greenhouse_job_boards/logos/000/006/827/resized/google_deepmind__og_01.png?1708945361" width="143" height="75" /></a></div> </div> <div id="header"> <a href='#app' id='apply_button' class='button'> Apply Now </a> <h1 class='app-title'>Research Scientist, Large Scale Pre-Training Data</h1> <span class='company-name'> at DeepMind </span> <div class='location'> London, UK </div> </div> <div id="content" class=""> <p>At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.</p> <p> </p> <h2>Snapshot</h2> <p>At Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. We are seeking a highly motivated Research Scientist to join our team and contribute to groundbreaking fundamental research and deployment in large scale pre-training.</p> <h2>About Us</h2> <p>Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.</p> <h2>The Role</h2> <p>We’re looking for a Research Scientist with a strong empirical and theoretical understanding of deep learning with a focus on data, as well as strong engineering skills and understanding of distributed systems.</p> <h3>Key responsibilities:</h3> <ul> <li>Conduct careful empirical research to validate novel research ideas to improve performance of Gemini models.</li> <li>Develop strong intuitions grounded in data scaling laws and theoretical insights that can lead to research breakthroughs and new model capabilities.</li> <li>Dive deep into specific areas of the pre-training stack to improve our understanding of large scale training dynamics.</li> <li>Collaborate with the wider Gemini team, engaging closely with the Model, Infrastructure and the Post-Training teams.</li> </ul> <h2>About You</h2> <p><strong>In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:</strong></p> <ul> <li>A proven track record of large scale deep learning research with hands-on experience with Python and neural network training (publications, open-source projects, relevant work experience, …).</li> <li>An in-depth knowledge of large scale training dynamics.</li> <li>Ability to communicate technical ideas effectively, e.g. through discussions, whiteboard sessions, written documentation.</li> </ul> <p><strong>In addition, the following would be an advantage: </strong></p> <ul> <li>Experience with large scale data processing pipelines.</li> <li>A PhD in machine learning or closely related field, or similar experience.</li> <li>Experience with distributed systems and large scale deep learning performance optimisation.</li> <li>Experience with running large scale data processing pipelines.</li> </ul> <h4>Closing 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We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003ch2\u003eSnapshot\u003c/h2\u003e\n\u003cp\u003eAt Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. We are seeking a highly motivated Research Scientist to join our team and contribute to groundbreaking fundamental research and deployment in large scale pre-training.\u003c/p\u003e\n\u003ch2\u003eAbout Us\u003c/h2\u003e\n\u003cp\u003eArtificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\u003c/p\u003e\n\u003ch2\u003eThe Role\u003c/h2\u003e\n\u003cp\u003eWe’re looking for a Research Scientist with a strong empirical and theoretical understanding of deep learning with a focus on data, as well as strong engineering skills and understanding of distributed systems.\u003c/p\u003e\n\u003ch3\u003eKey responsibilities:\u003c/h3\u003e\n\u003cul\u003e\n\u003cli\u003eConduct careful empirical research to validate novel research ideas to improve performance of Gemini models.\u003c/li\u003e\n\u003cli\u003eDevelop strong intuitions grounded in data scaling laws and theoretical insights that can lead to research breakthroughs and new model capabilities.\u003c/li\u003e\n\u003cli\u003eDive deep into specific areas of the pre-training stack to improve our understanding of large scale training dynamics.\u003c/li\u003e\n\u003cli\u003eCollaborate with the wider Gemini team, engaging closely with the Model, Infrastructure and the Post-Training teams.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch2\u003eAbout You\u003c/h2\u003e\n\u003cp\u003e\u003cstrong\u003eIn order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eA proven track record of large scale deep learning research with hands-on experience with Python and neural network training (publications, open-source projects, relevant work experience, …).\u003c/li\u003e\n\u003cli\u003eAn in-depth knowledge of large scale training dynamics.\u003c/li\u003e\n\u003cli\u003eAbility to communicate technical ideas effectively, e.g. through discussions, whiteboard sessions, written documentation.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eIn addition, the following would be an advantage: \u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eExperience with large scale data processing pipelines.\u003c/li\u003e\n\u003cli\u003eA PhD in machine learning or closely related field, or similar experience.\u003c/li\u003e\n\u003cli\u003eExperience with distributed systems and large scale deep learning performance optimisation.\u003c/li\u003e\n\u003cli\u003eExperience with running large scale data processing pipelines.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch4\u003eClosing date: Monday, 25th November 4:00pm GMT\u003c/h4\u003e"} </script> <script type='text/javascript' src='https://www.dropbox.com/static/api/2/dropins.js' id='dropboxjs' data-app-key='mh9jyh4mfwjnfhj' async></script> <script class="js-metadata" data-key="googlePickerDeveloperKey" data-type="string" data-value="AIzaSyCratp6KuOmiXWfR3ABY8azVmw8XFnBl64" type="text/configuration"></script><script class="js-metadata" data-key="googlePickerClientId" data-type="string" data-value="594601915089-7c2994029qkt5qu2tmbppujr9jqrqqrs.apps.googleusercontent.com" type="text/configuration"></script><script class="js-metadata" data-key="googlePickerAppId" data-type="number" data-value="594601915089" type="text/configuration"></script> <script> function callDriveMethodWhenAvailable(method, retries) { retries = retries || 0; if (window[method]) { window[method](); } else if (retries < 10){ retries++; setTimeout(function() { callDriveMethodWhenAvailable(method, retries); }, retries * 1000); } } </script> <script src='https://apis.google.com/js/api.js' onload="callDriveMethodWhenAvailable('gapiLoaded')" async defer></script> <script src='https://accounts.google.com/gsi/client' onload="callDriveMethodWhenAvailable('gisLoaded')" async defer></script> </body> </html>