Student Researcher Intern - Seed Model, AI Foundation Model Infrastructure

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. Minimum Qualifications - Currently pursuing a PhD in computer science, mathematics, engineering, or a related field. - Strong programming skills and solid foundation in algorithms, data structures, and systems, proficient in Python or C/C++. - Research or internship experience related to large-scale systems, inference optimization, compilers, or performance optimization. Preferred Qualifications - Strong problem-solving and engineering skills. - Ability to collaborate effectively in a research environment.