ByteDance
Research Engineer Graduate (Seed Model - AI Foundation Model Infrastructure) - 2027 Start (PhD)
San Jose, California · Full-time · Posted Oct 28, 2026
- Education
- PhD in a listed or related discipline; the posting does not state an equivalent-experience alternative.
About the job
Builds and optimizes infrastructure for large-scale AI foundation model training, evaluation, and inference.
What you'll do
- Design and build scalable model training, evaluation, and inference infrastructure.
- Optimize distributed training across compute, memory, and communication; improve reliability, efficiency, and observability.
- Develop frameworks for evaluation, data processing, and model lifecycle management, and co-design systems and algorithms to improve foundation-model performance.
What they ask for
- Completing or recently completed a PhD in Computer Science, Electrical Engineering, Electrical and Computer Engineering, Physics, Mathematics, or a related discipline.
- Excellent coding ability and skills in data structures and fundamental algorithms; proficiency in C/C++ or Python, etc.
- Experience in distributed systems, large-scale training infrastructure, or ML systems.
- Familiarity with deep learning frameworks and system optimization.
Nice to have
- Strong problem-solving and engineering skills.
- Strong communication and collaboration skills.
Tools
C/C++, Python
AI focus
Develops infrastructure and systems for large-scale foundation model training, evaluation, inference, and lifecycle management.
Model-written summary · the original posting is authoritative