ML Engineer, Large Language Models (LLM Training & Inference Optimization)
Nebius
About this role
A Senior ML Engineer on Nebius AI R&D will advance applied research and help build AI-heavy products such as Nebius AI Studio. The role focuses on improving the efficiency, scalability, and reliability of model training and inference in large-scale multi-GPU, multi-node environments. The position collaborates with cross-functional teams to translate research innovations into production-grade systems.
Skills
Qualifications
About Nebius
nebius.comNebius is a cloud platform for AI explorers that provides GPU‑accelerated infrastructure to build, tune, and run machine learning models and applications. It offers access to top‑tier NVIDIA GPUs and tooling designed to maximize efficiency and performance for training, fine‑tuning, and inference. Nebius focuses on simplifying ML workflows so researchers, developers, and teams can iterate faster without managing hardware.
Recent company news
NVIDIA and Nebius Partner to Scale Full-Stack AI Cloud
1 day ago
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5 hours ago
Nvidia Invests $2B in Nebius (NBIS) Stock. What It Means for CoreWeave, AI Trade
17 hours ago
Where Will Nebius Group Be in 5 Years?
4 hours ago
Nvidia invests US$2 billion in AI cloud firm Nebius
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About Nebius
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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View leadership team, funding history,
and employee contacts for Nebius.
Salary
$153k – $206k
per year
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