Senior ML Engineer (AI Research)

<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><h3><strong>The role</strong></h3> <p>This role is for Nebius AI R&D, a team focused on applied research in AI. Examples of applied research that we have recently published include:</p> <ul> <li><a href="https://arxiv.org/abs/2508.03501">applying reinforcement learning</a> for agent training in long-context multi-turn scenarios</li> <li>dramatically <a href="https://arxiv.org/abs/2505.20411">scaling</a> task data collection to power reinforcement learning for SWE agents</li> <li>building a <a href="https://swe-rebench.com/">decontaminated evaluation</a> for SWE agents that is regularly updated</li> <li><a href="https://arxiv.org/abs/2505.13652">investigating</a> how test-time guided search can be used to build more powerful agents</li> </ul> <p>The results often lead to collaboration with adjacent teams where our research findings are