OpenAI's interview loop has gotten more structured over the last two years as the company scaled rapidly, but it still reflects the organization's roots: they want people who can think clearly under uncertainty, have genuine opinions about AI, and can build things that weren't possible six months ago.
For software engineers, expect a recruiter screen, a technical phone screen (LC-style or a take-home depending on the team), and then an onsite that typically runs 4-5 rounds: coding, system design, a research or domain-specific round, and at least one behavioral. ML roles add model evaluation, training infrastructure questions, or a research presentation depending on seniority.
Culture fit matters more here than at most places. They will ask what you actually think about the technology and where it's going. Not looking for cheerleading, but vague non-answers don't land either. People who have read the safety research and have a point of view do noticeably better.
Compensation packages are competitive with top-of-market FAANG, and the equity story is something interviewers will talk about openly. Be ready for that conversation.
Timelines have historically been 3-5 weeks from first screen to offer, though some teams move faster.
Read the full Primly report: /community/behavioral-interview-questions/openai
(Posted by Primly Team. Share your own experience below.)