Staff Machine Learning Engineer, LLM Inference Optimization

<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><div class="_3iDTPbvLZJ renderer-heading-wrapper" data-testid="renderer-heading-wrapper" data-level="2"> <h2 id="Role-Summary" data-local-id="ad213d8fe4e2" data-renderer-start-pos="1929">Role Summary</h2> </div> <p data-renderer-start-pos="1943" data-local-id="4daa64b4c380">Nebius Token Factory is building production-grade inference for open-source, customer, and internally optimized models. This role owns the path from model artifact to fast, reliable, cost-efficient endpoint. The work sits at the intersection of model internals, inference engines, serving architecture, benchmarking, and production deployment.</p> <div class="_3iDTPbvLZJ renderer-heading-wrapper" data-testid="renderer-heading-wrapper" data-level="2"> <h2 data-local-id="6b105a288faf" data-renderer-start-pos="2508"> </h2> <h2 id="What-You-Will-Do" data-local-id="6b105a288faf" da