ByteDance
Research Intern (AI Compute Efficiency & Scheduling) - 2027 Start (PhD)
Seattle, Washington · Internship · Posted Oct 28, 2026
- Education
- Currently pursuing a PhD in Computer Science or a related discipline.
About the job
Conduct a focused research and engineering project to improve AI workload scheduling, compute efficiency, or automation for ByteDance’s large-scale infrastructure.
What you'll do
- Improve the AI-driven scheduler’s workload placement and balancing.
- Explore ways to use compute, memory, or power more efficiently.
- Build reliability and self-management tools, including AI-agent-assisted automation.
What they ask for
- Currently pursuing a PhD in Computer Science or a related discipline.
- Able to commit to a 12-week internship during Summer 2027.
- Experience coding in Go, C++, Python, Java, or C#.
Nice to have
- Intent to return to your degree program after the internship.
- Fundamentals in systems, distributed computing, or software engineering; curiosity about large-scale or AI/ML infrastructure; exposure to Linux, containers, or Kubernetes is a plus.
Tools
Go, C++, Python, Java, C#, Linux, containers, Kubernetes
AI focus
Improve AI-driven workload scheduling and compute efficiency, and develop AI-agent-assisted infrastructure automation.
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