OpenAI's research internship places you on a research team — pre-
training, post-training, alignment, reasoning, robotics, or applied
research — for 12 weeks over summer, working on a defined research
project alongside a mentor who's a member of technical staff.
What the role actually involves: a single concentrated research project
(not multiple "exploratory" mini-projects), real compute budget, real
codebase contributions, and a formal write-up at the end. Strong interns
are offered full-time conversion at the end of the summer.
Honest fit signals:
— Currently enrolled in a PhD program (the typical profile) OR an
exceptional undergraduate/masters student with a strong publication
or open-source track record in ML.
— You can write fluent PyTorch and have already done multi-GPU /
multi-node training (or are a fast learner the mentor judges credible).
— You're comfortable with the public scrutiny that comes with the
OpenAI brand. The research culture is genuinely high-stakes.
What's not a fit: anyone using the internship as a "try out AI" — the
bar is calibrated to people who already know they want to do frontier
ML research and have early evidence of capability.
