What are the responsibilities and job description for the Student Researcher (AI Foundation Model Infrastructure - Seed) - 2027 Start (PhD) position at ByteDance?
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.
Qualifications
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.