NewFull-timeRemotePosted today
Senior Research Scientist (Architectures Research)
Nebius · Remote
#ml
About the role
<div class="content-intro"><p><strong>About Nebius:</strong></p>
<p>Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.</p>
<p>Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.</p>
<p>Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.</p></div><p><span class="" data-testid="renderer-code-block-line-3" data-ds--code--row=""><span class=""><span class="token title important">The role</span></span></span></p>
<p><span class="" data-testid="renderer-code-block-line-3" data-ds--code--row=""><span class=""> </span></span><span class="" data-testid="renderer-code-block-line-5" data-ds--code--row="">Nebius AI R&D conducts frontier applied research to make open-source AI highly competitive for real-world use cases. Our Architectures Research stream explores how models can attend, remember, reason, and adapt more effectively, enabling longer and richer workflows at lower computational cost.</span></p>
<p><span class="" data-testid="renderer-code-block-line-5" data-ds--code--row=""> </span><span class="" data-testid="renderer-code-block-line-7" data-ds--code--row="">We are looking for a Senior Research Scientist to develop new model architectures and methods in areas such as: </span></p>
<p><span class="" data-testid="renderer-code-block-line-9" data-ds--code--row=""><span class=""><span class="token list punctuation">-</span> Efficient, sparse, and adaptive attention </span></span></p>
<p><span class="" data-testid="renderer-code-block-line-10" data-ds--code--row=""><span class=""><span class="token list punctuation">-</span> Long-context models and persistent memory </span></span></p>
<p><span class="" data-testid="renderer-code-block-line-11" data-ds--code--row=""><span class=""><span class="token list punctuation">-</span> Post-training transformation of pretrained models </span></span><span class="" data-testid="renderer-code-block-line-12" data-ds--code--row=""><span class=""><span class="token list punctuation">-</span></span></span></p>
<p><span class="" data-testid="renderer-code-block-line-12" data-ds--code--row=""><span class=""> - Selective computation and dynamic inference</span></span></p>
<p><span class="" data-testid="renderer-code-block-line-12" data-ds--code--row=""><span class=""> </span></span><span class="" data-testid="renderer-code-block-line-13" data-ds--code--row=""><span class=""><span class="token list punctuation">-</span> New architectures for reasoning and continual adaptation </span></span></p>
<p> </p>
<p><span class="" data-testid="renderer-code-block-line-15" data-ds--code--row=""><span class=""><span class="token title important"> Responsibilities</span> </span></span></p>
<p><span class="" data-testid="renderer-code-block-line-17" data-ds--code--row=""><span class=""><span class="token list punctuation">-</span> Formulate original research questions and translate them into rigorous experimental programs</span></span></p>
<p><span class="" data-testid="renderer-code-block-line-17" data-ds--code--row=""><span class=""> </span></span><span class="" data-testid="renderer-code-block-line-18" data-ds--code--row=""><span class=""><span class="token list punctuation">-</span> Design and evaluate architectural changes at meaningful model scales </span></span></p>
<p><span class="" data-testid="renderer-code-block-line-19" data-ds--code--row=""><span class=""><span class="token list punctuation">-</span> Develop methods that preserve model quality while reducing training or inference cost </span></span></p>
<p><span class="" data-testid="renderer-code-block-line-20" data-ds--code--row=""><span class=""><span class="token list punctuation">-</span> Collaborate with engineering teams to validate ideas in efficient implementations </span></span></p>
<p><span class="" data-testid="renderer-code-block-line-21" data-ds--code--row=""><span class=""><span class="token list punctuation">-</span> Publish research and contribute to open-source models, methods, and tools </span></span></p>
<p><span class="" data-testid="renderer-code-block-line-22" data-ds--code--row=""><span class=""><span class="token list punctuation">-</span> Mentor researchers and help shape the stream's research direction</span></span></p>
<p> </p>
<p><span class="" data-testid="renderer-code-block-line-24" data-ds--code--row=""><span class=""><span class="token title important"> What we expect</span> </span></span></p>
<p><span cl…
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Originally listed on Arbeitnow. View the original posting ↗
