ByteDance
Research Intern (AI Compute Efficiency & Scheduling) - 2027 Start (PhD)
San Jose, California · Internship · Posted Oct 28, 2026
- Education
- Currently pursuing a PhD in Computer Science or a related discipline.
About the job
Research and develop ways to improve AI-driven workload scheduling, compute efficiency, and automation for ByteDance’s large-scale infrastructure.
What you'll do
- Improve workload placement and balancing in the AI-driven scheduler.
- Explore more efficient use of compute, memory, or power.
- Build tools for reliable, self-managing infrastructure, 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 the degree program after the internship.
- Strong fundamentals in systems, distributed computing, or software engineering; curiosity about large-scale or AI/ML infrastructure; Linux, containers, or Kubernetes exposure is a plus.
Tools
Go, C++, Python, Java, C#, Linux, containers, Kubernetes
AI focus
Work on AI-driven scheduling, AI/LLM infrastructure efficiency, and AI-agent-assisted automation.
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