Research Scientist Graduates - (Seed Model - AI Foundation Model Infrastructure) - 2027 Start
ByteDance, Seattle, Washington
ByteDance has this job in 1 other place
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.
What you will do
- Design and build scalable infrastructure for large-scale model training, evaluation, and inference.
- Optimize distributed training systems across compute, memory, and communication.
- Improve system reliability, efficiency, and observability for large-scale workloads.
- Develop frameworks for evaluation, data processing, and model lifecycle management.
- Co-design systems and algorithms to improve performance of foundation models.
What you need
- Currently pursuing a Bachelor's or Master's degree in computer science, mathematics, engineering, or a related field, with an expected graduation date in 2027 and the ability to commit to an onboarding date by the end of 2027.
- Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, etc.
- Demonstrated interest or project experience in relevant areas.
Nice to have
- Experience in distributed systems, machine learning systems, or related areas through internships is preferred.
- Strong problem-solving and collaboration skills.
Source: the company job board. We last checked this job 2 days ago. We first saw it 7 days ago. A job on a job board does not always mean that the team interviews people now.