Conduct research on infrastructure and systems for large-scale AI foundation models, focusing on eff
岗位职责
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.
申请条件
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.
雇主简介
ByteDance is a global technology company known for its content platforms, and its infrastructure team builds and manages hyper-scale data centers worldwide, focusing on power and energy management for data center operations.