ByteDance
Student Researcher - (Seed Model - AI Foundation Model Infrastructure) - 2026 Start
San Jose, California · Internship · Posted Oct 28, 2026
- Education
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related technical fields.
About the job
Supports infrastructure projects for AI foundation models, including distributed training, reinforcement learning, inference, and accelerator optimization.
What you'll do
- Build or optimize distributed training systems and reinforcement learning pipelines.
- Improve inference performance and contribute to compiler or runtime optimizations for GPUs and other accelerators.
- Analyze performance, develop internal tools, and collaborate with researchers and engineers on scalable system solutions.
What they ask for
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field.
- Proficiency in at least one programming language, such as Python or C++.
- Familiarity with machine learning frameworks such as PyTorch or similar tools.
- Strong analytical and problem-solving skills; ability to collaborate in a fast-paced technical environment.
Tools
Python, C++, PyTorch, GPU
AI focus
AI foundation model infrastructure: distributed training, reinforcement learning training and post-training, high-performance inference, and compilation for GPUs and other accelerators.
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