Research Scientist Graduate (Applied Machine Learning - ML System) - 2026 Start (PhD)

Build and optimize large-scale LLM training, inference, and RL frameworks as part of a distributed ML systems team. Collaborate with model researchers to scale training and RL to the next level, and drive GPU/CUDA performance optimization for a high-performance training/inference engine. Work on heterogeneous infrastructure integrating GPU/NPU/RDMA/Storage while contributing to stable, reliable system operations across a global team.