Student Researcher - (Seed Model - AI Foundation Model Infrastructure) - 2027 Start (PhD)
ByteDance, San Jose, California
What you will do
- 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.
What you need
- 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.
Nice to have
- Strong problem-solving and engineering skills.
- Ability to collaborate effectively in a research environment.
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.
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