Research Intern (AI Compute Efficiency & Scheduling) - 2027 Start (PhD)
AI scheduling research
Likely openWe list a role only while we believe it is still open. Confirm on the posting before you apply.
What stands out
- Pay is stated up front — $57 / hour. Most postings never say.
- Posted in the last 24 hours.
The gist
This PhD internship focuses on improving AI-driven scheduling for large-scale computing at ByteDance. You'll work on real projects that enhance efficiency and reliability across their global infrastructure. Ideal for PhD students with strong systems or distributed computing experience.
What you would actually do
- Design smarter scheduling systems for AI workloads and large-scale computing
- Work with Go, C++, Python, and distributed systems tools
- Contribute to open-source scheduling platform Godel
Skills mentioned
About this listing
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- First seen by InternDoor
- , within 35 minutes of being posted
- Last seen listed
- Application page
- joinbytedance.com
InternDoor has recorded 110 engineering postings from ByteDance in the US since Aug 2026. LinkedIn listings stay on InternDoor for at most 30 days after we first see them, so this one comes down by , or sooner if we find its application has closed. When it comes down, this address points to ByteDance’s page instead of a dead end.
How to apply
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This summary was written by InternDoor from the public posting, and is not the employer's own wording. The linked posting is the source of truth — check it before you apply.