ByteDance
Research Intern (AML) - 2026 Start (PhD)
San Jose, California · Internship · Posted Oct 28, 2026
- Education
- Currently pursuing a PhD in Computer Science or a related field.
About the job
Manage ByteDance’s centralized GPU computing pool and analyze GPU data to improve resource scheduling, efficiency, budgeting, and reuse.
What you'll do
- Build and operate the centralized GPU computing pool, optimizing resource scheduling to increase AI computing capacity.
- Collect, process, and analyze Group-wide GPU data to support resource budgeting, delivery, efficiency improvements, and reuse.
What they ask for
- Currently pursuing a PhD in Computer Science or a related field.
- Proficient in at least one of Python, Golang, or C++, with solid programming skills and good coding practices.
- Proficient in common storage and middleware systems, with practical troubleshooting and performance-tuning capabilities.
- Familiar with time-series data components and OLAP databases, and have hands-on experience designing, developing, and maintaining large-scale distributed systems.
Tools
Python, Golang, C++, MySQL, Redis, MQ, OpenTSDB, Prometheus
AI focus
Optimize GPU capacity and resource scheduling supporting AI computing.
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