Summer 2027 PhD AI Research Infrastructure, RL Post-Training Intern
AI Research Infrastructure
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 — $91,500 / year. Most postings never say.
- Nobody had applied when this was listed — you would be near the front of the queue.
- Posted in the last 24 hours.
The gist
This PhD-level role involves building and optimizing infrastructure for reinforcement learning in large language models. You'll work on scalable systems for inference and training, collaborate with researchers, and contribute to technical documentation. Ideal for PhD candidates with experience in RL, distributed systems, and large-scale AI workflows.
What you would actually do
- Develop and optimize infrastructure for reinforcement learning post-training of large models
- Build scalable systems for inference, reward computation, and policy updates
- Collaborate with researchers on production-quality infrastructure for experimental workflows
Skills mentioned
How to apply
Internships in the US often collect hundreds of applicants within a day, so applying early matters more than applying perfectly. A half-finished application sent on the first morning beats a polished one sent on the third.
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.