Student Researcher (AI Foundation Model Infrastructure - Seed) - 2027 Start (PhD)

About the team The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models. Responsibilities - Conduct research on infrastructure and systems for large-scale models. - Explore methods to improve efficiency, scalability, and reliability across areas such as training platforms, inference systems, compilers, and distributed systems. - Design and prototype system components, algorithms, or frameworks. - Collaborate with the team to advance research directions.