ML Engineer - Life Sciences (Early Talent)

<div class="content-intro"><p><strong data-stringify-type="bold">Why work at Nebius<br></strong>Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.</p> <p><strong>Where we work<br></strong>Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&amp;D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&amp;D team.</p></div><div id="content" class="highlighter-context page view" data-inline-comments-target="true" data-testid="page-content-only"> <div class="_19itglyw _vchhusvi _r06hglyw _19pkidpf _2hwx1wug _otyr1epz _18u01wug _1bsb1osq"> <div id="main-content" class="wiki-content css-pqj8wn e5xcnr80" data-testid="pageContentRendererTestId" data-vc="pageContentRendererTestId" data-test-appearance="full-page"> <div class="renderer-overrides"> <div class="css-3qfej8"> <div class="ak-renderer-wrapper is-full-page css-pw7jst"> <div class="css-1fyp1kw"> <div class="ak-renderer-document"> <p><strong>Summary:</strong></p> <p><strong>Location</strong>: Amsterdam<br><strong>Duration</strong>: 3-6 months<br><strong>Start date</strong>: June 2026&nbsp;<br><strong>Compensation</strong>: Paid<br><strong>Eligibility</strong>: Current University student (Computer Science or related field), Recent Graduate or Early Career specialist<br><strong>Work authorization</strong>: Permitted to work in the job’s location</p> <p data-renderer-start-pos="28" data-local-id="1f27e5a244f5"><strong>About the role</strong></p> <p data-renderer-start-pos="28" data-local-id="1f27e5a244f5">Biological AI models (protein folding, protein design, and large foundation models) are powerful but heavy and expensive to run. This project focuses on making them faster and more efficient at inference time without significantly hurting biological quality.</p> <p data-renderer-start-pos="288" data-local-id="4b1234ac6e87">You will work on profiling bottlenecks, applying model compression and architectural optimizations, and building efficient inference pipelines. The goal is to make these models practical for real-world research and production use.</p> <p data-renderer-start-pos="522" data-local-id="c47be6e5034c"><strong data-renderer-mark="true">Your responsibilities will include:</strong></p> <ul> <li data-renderer-start-pos="561" data-local-id="b9bbd1febe3c">Profile inference bottlenecks in selected biological models</li> <li data-renderer-start-pos="624" data-local-id="2ab06e88ab4f">Implement and test optimization techniques (quantization, pruning, distillation)</li> <li data-renderer-start-pos="708" data-local-id="960464f268eb">Explore efficient attention and architecture-level improvements</li> <li data-renderer-start-pos="775" data-local-id="c346fdc4f7a4">Build and benchmark optimized inference pipelines</li> <li data-renderer-start-pos="828" data-local-id="38031e6b2515">Evaluate speed, memory, and accuracy trade-offs</li> <li data-renderer-start-pos="879" data-local-id="e19563c04d73">Write clean, well-documented experimental code</li> <li data-renderer-start-pos="929" data-local-id="a70aacad77f8">Share results and practical deployment recommendations</li> </ul> <p data-renderer-start-pos="989" data-local-id="231d00ce0134"><strong data-renderer-mark="true">We expect you to have:</strong></p> <ul> <li data-renderer-start-pos="1015" data-local-id="64247f52fb08">Enrollment in or completion of a degree in computer science, AI, or a related field</li> <li data-renderer-start-pos="1102" data-local-id="15067929823b">Strong knowledge of computer science and machine learning fundamentals</li> <li data-renderer-start-pos="1176" data-local-id="734b003ac16d">Experience with Python and familiarity with deep learning frameworks</li> <li data-renderer-start-pos="1248" data-local-id="aa159f171baf">Ability to write clean, efficient code</li> <li data-renderer-start-pos="1290" data-local-id="26983ae88b04">Strong problem-solving skills and a willingness to learn quickly</li> <li data-renderer-start-pos="1358" data-local-id="6e82b184502c">Interest in life sciences</li> </ul> <p data-renderer-start-pos="1389" data-local-id="b4ae25ba2f01"><strong data-renderer-mark="true">Nice to have:</strong></p> <ul> <li data-renderer-start-pos="1406" data-local-id="c216fc516b92">Familiarity with large language models and transformer architectures</li> <li data-renderer-start-pos="1478" data-local-id="dbcd4baec853">Experience profiling GPU workloads and optimizing deep learning systems</li> <li data-renderer-start-pos="1553" data-local-id="ce7c08be51e7">Experience with model compression techniques (quantization, pruning, distillation)</li> <li data-renderer-start-pos="1639" data-local-id="5bc7faf87bfc">Experience working with large-scale models or distributed inference</li> <li>Contributions to open-source ML projects</li> </ul> <p><strong>What we offer:</strong></p> <ul> <li>Competitive salary and comprehensive benefits package</li> <li>Mentorship from experienced AI, ML, and cloud infrastructure professionals</li> <li>Hands-on experience with real customer workloads and production systems</li> <li>Opportunities for professional growth within Nebius</li> <li>A dynamic and collaborative work environment that values initiative and innovation</li> <li>Opportunity to be considered for a full-time role after the Early Talent Program</li> </ul> <p>We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!</p> </div> </div> </div> </div> </div> </div> <div id="comment-container" class="_kqswstnw _lcxvglyw _c71l12am" data-testid="comment-container"></div> </div> </div> <div id="reading-aids-portal-container" class="_1reoewfl _18m9ewfl _kqswh2mm _1pby1o8a" data-ssr-placeholder="nmqvg:z8NN7:qz-Pe:Y6119-0"><span id="cc-reading-aids-highlight-spotlight" class="_tzy4idpf _kqswstnw _lcxvglyw _154i1ter _1ltv1rza _1bsb1rkg _4t3i1474"></span></div><div class="content-conclusion"><p><strong>What we offer</strong>&nbsp;</p> <ul> <li>Competitive salary and comprehensive benefits package.</li> <li>Opportunities for professional growth within Nebius.</li> <li>Flexible working arrangements.</li> <li>A dynamic and collaborative work environment that values initiative and innovation.</li> </ul> <p><span data-contrast="auto">We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!</span></p></div>