Staff Machine Learning Engineer, LLM Inference Optimization
Nebius · Amsterdam, Netherlands
Evidence
Nebius is on the Dutch IND register. The posting doesn’t mention visas.
Sponsor register
Dutch IND public register of recognised sponsors
Listed as Nebius B.V.. KVK 51515539. Snapshot 26 Oct 2026.
Still open
Seen on the job board
First seen 24 Oct 2026. We check every day and remove closed roles.
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arbeitnow.nl
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Being on the register means Nebius can sponsor visas. It doesn’t confirm this role qualifies, so check with the recruiter.
About the role
About Nebius: 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.
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. 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. Role Summary 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. What You Will Do • Own a platform-level optimization pillar such as quantization, speculative decoding, KV -cache optimization, engine selection, or long-context serving. • Create reusable evaluation, benchmarking, and rollout frameworks across multiple model families.