OpenAI interview questions. 25 from past candidates.
The process at OpenAI, what each stage actually tests, and how candidates prep. Real questions where we have them, likely questions where we don't.
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[01] BY THE NUMBERS
Headline facts before you prep.
Pulled straight from OpenAI's career page and public data sources. Tap any cell for the full breakdown.
Full OpenAI company profile[02] INTERVIEW PROCESS
Standard software engineering loop at OpenAI.
The stages below describe the typical SWE loop. Product, Design, and Data loops differ; pick a role to see how it changes, or jump straight to real questions reported for that role.
01Recruiter / Hiring Manager Screen
30-45 min
Recruiter / Hiring Manager Screen
30-45 minDiscussion of your background, research interests, and the role. ML roles often include a quick technical discussion about your past work.
- Be prepared to discuss your papers or projects in detail
- Know the company's recent publications or product launches
- Ask about the team's current research direction
02Technical Screen
60 min
Technical Screen
60 minCoding plus ML concepts. May include implementing an ML algorithm from scratch or discussing model architecture choices.
- Know how to implement common algorithms: logistic regression, decision trees, k-means
- Brush up on gradient descent, backpropagation, and loss functions
- Be comfortable coding in Python with NumPy
03ML Deep Dive
60 min
ML Deep Dive
60 minExtended discussion of ML concepts, model evaluation, feature engineering, and production ML challenges.
- Know bias-variance tradeoff, overfitting mitigation, and model selection
- Be ready to discuss model monitoring and data drift
- Understand the full ML lifecycle, not just training
04System Design / ML Architecture
60 min
System Design / ML Architecture
60 minDesign an ML system end-to-end: data pipeline, feature store, model training, serving, and monitoring.
- Practice designing recommendation systems, search ranking, and fraud detection
- Discuss feature engineering, online vs. offline serving
- Consider model freshness, A/B testing, and rollback strategies
05Research Discussion / Paper Review
45-60 min
Research Discussion / Paper Review
45-60 minSome companies ask you to present your research or discuss a recent paper. Tests depth of understanding and ability to communicate complex ideas.
- Choose a paper you understand deeply, not just superficially
- Be ready to discuss limitations and potential improvements
- Practice explaining technical concepts to different audiences
[03] REAL QUESTIONS
Reported by people who interviewed at OpenAI.
25 questions sourced directly from candidates on Reddit, Blind, Glassdoor, and Scoutify user reports.
Product Management
12 questions · all reported by candidates
Product Management
12 questions · all reported by candidatesYou have text-to-music capabilities. How would you productize it?
What parts of OpenAI's mission statement resonate with you?
OpenAI wants to launch a collaborative workspace for teams within ChatGPT. How would you define success metrics?
How would you measure the success of ChatGPT Search?
How would you improve ChatGPT?
OpenAI is launching AirPods-like hardware with built-in voice AI. How would you set goals and success metrics for it?
What industry do you think could benefit the most from enterprise ChatGPT?
You have a technology that translates speech/text to animal language. How do you take this to market?
How would you launch a new ChatGPT model.
What is the impact of AI search?
You have a new capability that's extremely powerful but potentially risky, how do you decide whether or not to ship it?
How would you design safeguards for an AI system that can take actions on behalf of a user?
Software Engineering
8 questions · all reported by candidates
Software Engineering
8 questions · all reported by candidatesHow is gradient descent and model optimization used in linear regression?
How do you select input for modeling if there are features highly correlated with each other?
What's the effect of adjusting an LLM's context window size?
Why do you want to work at OpenAI?
What risks might arise from deploying AI systems, and how can they be addressed?
Explain deep reinforcement learning.
Given a sequence of credit issuance and usage events, where credits may expire or have usage constraints, write a function to translate the list into the user’s remaining credit pool and total available credits.
Tell me a challenging situation when things went wrong and how you reacted.
Other Roles
5 questions · all reported by candidates
Other Roles
5 questions · all reported by candidatesTell me about a time you conducted a failed experiment.
You launched a feature and user behavior changed, how do you define success metrics?
Walk me through a past data science project.
Tell me about a time your work had a negative business impact. What happened and why?
Tell me about a time you ran and designed a growth experiment with product, engineering, and design.
How to answer these: the STAR method
Use the STAR method: describe the Situation, the Task you faced, the specific Action you took, and the measurable Result. Aim for 60-90 seconds with one concrete metric. Practice it out loud before the interview so it flows naturally; the same structure works for every question above.
[04] HIRING PULSE
OpenAI's hiring pulse.
We re-scan OpenAI's career page every few minutes and keep the full posting history, so these counts come from the board itself, not an aggregator.
Posted (7d)
61
Posted (30d)
208
Posted (90d)
570
Scanned every few minutes · newest tracked posting May 23, 2026
[05] SALARY SNAPSHOT
Know the bands before the loop.
Median total compensation at OpenAI by level, as reported by employees on Levels.fyi. Worth knowing before the recruiter asks about expectations.
Software Engineer
Source: Levels.fyi| Level | Total | Base | N |
|---|---|---|---|
| L2 | $251K | $168K | 12 |
| L3 | $337K | $209K | 9 |
| L4 | $608K | $262K | 11 |
| L5 | $819K | $324K | 4 |
| L6 | $1277K | $398K | 11 |
Source: Levels.fyi · median of reported samples · N = sample count
Full compensation breakdown on the OpenAI company page[06] APPLY LOGISTICS
Applications go through Ashby.
OpenAI runs hiring on Ashby, so the application form and recruiter follow-ups flow through it. Use the same email everywhere and keep the profile fields consistent with your resume; recruiters see both side by side.
A modern, all-in-one recruiting platform built for high-growth companies. Ashby combines ATS, CRM, scheduling, and analytics into a single product.
Sniper support for Ashby career sites is rolling out to accounts, so it may not apply to OpenAI on your account yet. Until it does, you can get instant alerts when OpenAI posts a new role and apply yourself while the posting is fresh.
ATS identified from the application URLs on OpenAI's recent postings
[07] PEOPLE ALSO ASK
Common questions about OpenAI interviews.
Does OpenAI sponsor H1B visas?
Yes, OpenAI does sponsor H1B visas for international candidates. This is part of the company's commitment to attracting top talent from around the world. If you're considering applying from outside the U.S., you can expect support in navigating the visa process to join the team in San Francisco or other locations.
What is the average salary and compensation structure at OpenAI?
At OpenAI, salaries for disclosed positions range from $250,702 to $322,768. The median total compensation for various levels is significant, with L6 employees earning a median of $1,276,636, while L3 employees earn around $336,667. This competitive compensation structure reflects the company's focus on attracting and retaining highly skilled professionals.
What is the interview process like at OpenAI?
The interview process at OpenAI typically involves multiple stages, including technical assessments and behavioral interviews. You may be asked questions such as how gradient descent is used in model optimization or how to productize text-to-music capabilities. This rigorous process is designed to evaluate both your technical skills and your fit within the company's culture.
What is the current hiring volume and what roles are open right now at OpenAI?
OpenAI is actively hiring, with 1,184 job postings currently listed. In the last 30 days alone, 219 new positions were posted, including roles such as Regional Client Partner and Customer Success Manager in Ads Solutions. This high hiring volume indicates the company's growth and ongoing demand for talent across various functions.
[08] OVERVIEW
What candidates run into at OpenAI.
AI company interviews blend traditional software engineering with ML-specific evaluations. Expect deep dives into ML fundamentals, statistics, paper discussions, and practical implementation challenges.
[09] PREP TIPS
How candidates prepare.
[10] EXPERT FRAMEWORKS
Frameworks and sample answers from interview coaches.
Curated from Columbia Engineering's licensed BigInterview library: expert-written tips, sample answers, and walkthroughs that work for any Product Management interview.
Source: BigInterview (licensed by Columbia Engineering)
[11] FAQ
Questions candidates ask about OpenAI interviews.
Salary, visa sponsorship, process, hiring volume. Drawn from public data on OpenAI.
Yes, OpenAI does sponsor H1B visas for international candidates. This is part of the company's commitment to attracting top talent from around the world. If you're considering applying from outside the U.S., you can expect support in navigating the visa process to join the team in San Francisco or other locations.
[12] MORE INTERVIEW PREP
Companies candidates compare with OpenAI.
PREP SMARTER. APPLY FASTER.
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