Senior Applied Scientist, Efficient LLM Inference & Model 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&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><strong><span data-contrast="auto">The role</span></strong><span data-ccp-props="{}">&nbsp;</span></h3> <p><span data-ccp-props="{}">Nebius Token Factory needs scientists who can turn frontier inference bottlenecks into research problems, publish credible work, and then help ship the results into production. This is not a papers-only research role. The Applied Scientist is expected to design rigorous experiments, write strong code, collaborate with engineers, and convert research into deployed inference capabilities.</span></p> <p>A Senior Applied Scientist owns well-scoped research and production optimization projects. They can publish or prepare high-quality technical work while also producing code, experiments, and prototypes that engineers can use.</p> <p><strong><span data-contrast="auto"><span data-ccp-charstyle="Strong">Your responsibilities</span><span data-ccp-charstyle="Strong">:</span></span></strong><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true}">&nbsp;</span></p> <ul> <li> <p data-renderer-start-pos="2682" data-local-id="06f359694ab7">Own focused research projects from hypothesis through experiment, ablation, prototype, and production handoff.</p> </li> <li> <p data-renderer-start-pos="2796" data-local-id="7c017788c1e5">Prepare internal reports, technical blogs, or papers when the work is externally credible.</p> </li> <li> <p data-renderer-start-pos="2890" data-local-id="7efe020884ba">Partner directly with MLEs to ensure research prototypes become usable production components.</p> </li> <li> <p data-renderer-start-pos="2987" data-local-id="1481cbfe2c41">Define and execute rese