Job Description
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. The role We are looking for a Director, Machine Learning Research (Product) — a senior, customer-facing ML research leader who will keep Nebius at the forefront of modern machine learning and translate cutting-edge advancements into product direction, platform capabilities, and measurable customer success. You will be a machine learning researcher first, with a strong ML and data foundation, operating at the intersection of Product, Engineering, and Strategic Customers. In this role, you will continuously deep dive into the evolution of state-of-the-art ML pipelines — including training, inference, fine-tuning, evaluation, data workflows, and tooling — and convert those insights into clear product requirements and priorities, practical reference architectures for real-world workloads, and a credible, forward-looking technical point of view that strengthens Nebius both internally and within the broader ML community. This role is US- remote. Your responsibilities will include: Drive forward-looking ML research to shape Nebius ’ AI platform and PaaS roadmap, translating frontier developments into clear product direction and priorities. Convert state-of-the-art ML pipeline insights into actionable requirements, reference architect