ML Engineer, Large Language Models (LLM Training & Inference Optimization)
Nebius(10 months ago)
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.
Required Skills
- Distributed Systems
- High Performance
- Distributed Training
- Inference Optimization
- CUDA
- Triton
- GPU Kernels
- Parallelism
- Python
- JAX
+6 more
Qualifications
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related field
- Master’s or PhD preferred
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.
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