Senior ML Engineer (AI Research, Physical AI)

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&amp;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&amp;D.</p></div><h3 id="The-role" data-local-id="56e0c79db6b1" data-renderer-start-pos="1"><strong data-renderer-mark="true">The role</strong></h3> <p data-renderer-start-pos="11" data-local-id="226276cb11be">This role is for Nebius AI R&amp;D, a team focused on applied research in AI. Our Physical AI research aims to build intelligent agents that can perceive, reason, and act in the physical world. Research areas include:</p> <ul class="ak-ul" data-local-id="b201d55e-9630-42b8-a3e6-6366f9d7aa7b" data-indent-level="1"> <li> <p data-renderer-start-pos="228" data-local-id="7f4eab42e650">Vision-language-action models for general-purpose robotic control</p> </li> <li> <p data-renderer-start-pos="297" data-local-id="6e1a26341fab">Reinforcement and imitation learning from human demonstrations, simulation, and real-world experience</p> </li> <li> <p data-renderer-start-pos="402" data-local-id="660fc926d089">Scalable collection, generation, and curation of multimodal embodied data</p> </li> <li> <p data-renderer-start-pos="479" data-local-id="6abaaf40079a">Simulation, world models, and sim-to-real transfer</p> </li> <li> <p data-renderer-start-pos="533" data-local-id="5d51447590c4">Multimodal sensing, including vision, touch, force, and proprioception</p> </li> </ul> <p data-renderer-start-pos="607" data-local-id="7bf7bcad410b">You will modify large foundation models and learning algorithms for robotic agents, prototype new capabilities in simulation, and validate promising approaches on real-world systems. The results will often lead to collaboration with adjacent research, infrastructure, and engineering teams, where findings are scaled and applied in practice.</p> <p data-renderer-start-pos="950" data-local-id="9e37f4efc6d7"><strong data-renderer-mark="true">We are currently looking for senior- and staff-level ML engineers to work on research in areas such as:</strong></p> <ul class="ak-ul" data-local-id="2bdd11b4-ceac-4819-8cb0-f5d0ed796404" data-indent-level="1"> <li> <p data-renderer-start-pos="1057" data-local-id="1011677ae313">Vision-language-action models and multimodal foundation models for robotics</p> </li> <li> <p data-renderer-start-pos="1136" data-local-id="3c221b70f573">Reinforcement learning, imitation learning, and learning from demonstrations</p> </li> <li> <p data-renderer-start-pos="1216" data-local-id="7aec7e56029f">Scalable acquisition and generation of human, robot, and simulated interaction data</p> </li> <li> <p data-renderer-start-pos="1303" data-local-id="c4517810471e">World models, planning, and model-based control</p> </li> <li> <p data-renderer-start-pos="1354" data-local-id="4fb636421429">Sim-to-real transfer, domain adaptation, and robust policy evaluation</p> </li> <li> <p data-renderer-start-pos="1427" data-local-id="22957b5b5319">Dexterous manipulation, whole-body control, and general-purpose robotic agents</p> </li> </ul> <p data-renderer-start-pos="1509" data-local-id="31ac921c4c20"><strong data-renderer-mark="true">Some examples of what your responsibilities might include are:</strong></p> <ul class="ak-ul" data-local-id="1a3b57bf-356e-484f-8c7d-10071076da9e" data-indent-level="1"> <li> <p

Skills