OpenAI Internships

A practical guide to OpenAI internship and residency tracks, reported compensation, interview patterns, and where Final Round AI fits into the prep workflow.

Last reviewed: May 2026 | Researched by Final Round AI | Acceptance rate: <1% | Return offer rate: ~85% | Eligibility: Expected graduation Dec 2026 – Jun 2029

OpenAI internships at a glance

Reported pay

~$18,300/month

Roughly $105/hour based on reported market data. Among the highest in the industry. Source

Housing support

Included

Housing or corporate accommodation typically provided.

Duration

12-16 weeks

Residency programs may run longer.

Application timing

Rolling / varies

OpenAI posts roles on a rolling basis. Timing is less predictable than traditional Big Tech. Source

Program families

Residency, SWE

Research-oriented residency and software engineering tracks.

Locations

San Francisco, CA

OpenAI is primarily based in San Francisco.

Which OpenAI internship track fits your background?

Software Engineering Intern

  • Eligibility: Juniors, seniors, and graduate students
  • Description: Work on production systems powering ChatGPT, the API platform, or internal infrastructure. Extremely competitive with a small cohort.
  • Duration: 12 weeks
  • Reported pay: ~$18,300/month
    View current roles

Research Residency

  • Eligibility: Masters and PhD students with research backgrounds
  • Description: A research-focused program for candidates with strong ML, alignment, or systems research backgrounds who want to work at the frontier of AI.
  • Duration: 12-16 weeks
  • Reported pay: ~$18,300/month
    View current roles

How to apply for OpenAI internships

  1. Visit OpenAI Careers and check for open internship or residency roles.
  2. Submit your application with resume, publications, and GitHub/portfolio.
  3. Complete the technical screen covering algorithms and systems thinking.
  4. Prepare for multiple on-site rounds covering coding, design, and ML.
  5. Roles appear on a rolling basis — check frequently.
    Apply on OpenAI official careers page

OpenAI internship key dates

Milestone Typical timing
Roles posted Rolling / varies
Technical screens Rolling
On-site interviews Rolling
Offers extended 1-2 weeks post-interview
Internship starts Varies by cohort

Who should apply

  • Current enrollment in a relevant undergraduate or graduate program is expected.
  • OpenAI internships are extremely selective with very small cohort sizes.
  • Strong algorithmic fundamentals plus demonstrated interest in AI, ML, or systems work.
  • Research roles expect publications, open-source contributions, or comparable research artifacts.
  • Prior internship experience at strong companies is common among successful candidates.

Interview question patterns worth practicing

Q1: Design a rate limiter for an API that handles millions of requests per second.

Discuss token bucket vs sliding window. OpenAI cares about scalable systems thinking.

Q2: Implement a function to evaluate a mathematical expression given as a string.

Use a stack-based approach. Discuss operator precedence and error handling.

Q3: Explain the transformer architecture and why attention mechanisms work.

For research roles, depth matters. Go beyond surface-level explanations into positional encoding, multi-head attention, and training dynamics.

Q4: Tell me about a time you worked on something with high ambiguity and no clear playbook.

OpenAI operates at the frontier. Show comfort with ambiguity, first-principles thinking, and adaptability.