Senior ML Engineer (Agentic Search)

<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>We are seeking a Senior ML Engineer to join a fast-growing team building an agent-native search platform for AI systems, the emerging web access layer for AI.</p> <p>You will develop and deploy machine learning models that power retrieval, ranking, and indexing at scale, helping AI systems access fresh, reliable information in real time.</p> <p>This is a high-impact role working on a production system used 24x7, tackling challenges comparable to large-scale web search.</p> <p><strong>Your responsibilities:</strong></p> <ul> <li>Design, train, and deploy ML models for retrieval, reranking, and search relevance in production</li> <li>Build and optimise embedding-based indexing and large-scale retrieval systems</li> <li>Develop models supporting crawling, data selection, and content understanding</li> <li>Define and improve quality metrics for agent-native search and build evaluation pipelines</li> <li>Work on systems operating at very la