<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><h2><strong>The role</strong></h2> <p>This role is for Nebius AI R&amp;D, a team focused on applied research and the development of AI-heavy products. Examples of applied research that we have recently published include:</p> <ul> <li><a href="https://nebius.com/blog/posts/training-and-search-for-software-engineering-agents">investigating</a>&nbsp;how test-time guided search can be used to build more powerful agents;</li> <li>dramatically&nbsp;<a href="https://nebius.com/blog/posts/scaling-data-collection-for-training-swe-agents">scaling</a>&nbsp;task data collection to power reinforcement learning for SWE agents;</li> <li><a href="https://nebius.com/blog/posts/kvax-open-source-flash-attention-for-jax">maximizing efficiency</a>&nbsp;of LLM training on agentic trajectories.</li> </ul> <p>One example of an AI product that we are deeply involved in is Nebius Token Factory — an <a href
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