OpenAI Interview Questions

OpenAI Interview Questions

Practice 274 real OpenAI interview questions for 2026 — real interview questions drawn from actual interviews with detailed solutions. OpenAI interview questions on this page span Coding & Algorithms, System Design, ML System Design, Machine Learning, and Data Manipulation (SQL/Python) and cover roles like Software Engineer, Machine Learning Engineer, Data Scientist, Android Engineer, and Frontend Engineer. For interview preparation expect a focus on production ML systems, scalable services, numerical correctness, experimental design, and communication: interviewers evaluate architecture decisions, tradeoffs, measurable impact, and the ability to ship robust systems under uncertainty. The loop runs stage-by-stage: a recruiter screen, a technical phone screen (coding or design), a virtual onsite with focused rounds (practical coding, system and ML design, model/debug deep dives, and behavioral/mission-fit), then team match and offer; typical timeline is about 4–8 weeks and difficulty is high. Practical coding leans toward real-world engineering problems rather than pure LeetCode puzzles. Software-engineer themes include consistent-hashing sharding, GPU job scheduling for text-to-video, payment systems with exactly-once semantics, and video orchestration. ML tracks emphasize resumable iterators and checkpoint/restore, streaming-entropy numerical stability, 1-NN implementations and debugging model backprop; data science focuses on churn, free-trial A/B tests, and SQL retention analysis. Use project deep-dives and worked examples when you prep.

274 Questions 1 Company08.01.2026
Showing 20 results
Role
OpenAI logo
OpenAI
Medium
Software Engineer Locked

Design an Offline Merchant Payment System with Reconciliation

Prepare for a OpenAI system design interview about design an offline merchant payment system with reconciliation. This question focuses on requirement...

System Design
12
0
117 people solved
Jun 22, 2026
OpenAI logo
OpenAI
Hard
Software Engineer

Design a Cloud DevBox Platform

Design a cloud DevBox platform: a service that gives developers disposable or persistent remote development machines, accessible through a browser, SS...

System Design
56
0
463 people solved
Apr 20, 2026
OpenAI logo
OpenAI
Medium
Software Engineer

Design a Slack-Like Messaging System

Design a Slack-like team messaging system focused on sending and receiving messages in real time. Your design should support workspaces with channels ...

System Design
61
0
945 people solved
Apr 26, 2026
OpenAI logo
OpenAI
Medium
Machine Learning Engineer Locked

Filter Bad Human Annotations

This question evaluates expertise in data quality and annotation filtering for machine learning, including annotator reliability modeling, noisy-label...

Machine Learning
123
0
1364 people solved
Apr 3, 2026
OpenAI logo
OpenAI
Hard
Software Engineer Locked

Design a Payment Processing System

This system design question evaluates a candidate's ability to architect a backend payment system that stays correct under retries, concurrency, and p...

System Design
5
0
94 people solved
Jun 14, 2026
OpenAI logo
OpenAI
Hard
Machine Learning Engineer

Derive Backpropagation for Matrix-Product Layers

Consider a neural-network block whose output is produced by multiplying a sequence of trainable weight matrices together, then applying the resulting ...

Machine Learning
49
0
572 people solved
Feb 5, 2026
OpenAI logo
OpenAI
Medium
Machine Learning Engineer

Mine Novel Images from Unlabeled Data

Design a machine learning system that mines novel or interesting images from a massive, unlabeled image corpus. The corpus is far too large for exhaus...

ML System Design
13
0
203 people solved
Apr 3, 2026
OpenAI logo
OpenAI
Hard
Software Engineer

Design a CI/CD pipeline with scheduler

Design a production-grade CI/CD pipeline (with its job scheduler) You are designing the internal CI/CD platform for a large engineering organization t...

System Design
70
0
956 people solved
Aug 13, 2025
OpenAI logo
OpenAI
Medium
Frontend Engineer

Design a ChatGPT Playground

Design a web-based AI playground — a prompt-testing console similar to the OpenAI / ChatGPT Playground. A signed-in user types a prompt, picks a model...

System Design
23
0
201 people solved
Apr 25, 2026
OpenAI logo
OpenAI
Medium
Machine Learning Engineer

Defend a Research Direction and Experiment Design

You are interviewing for a research-focused Machine Learning Engineer role at a frontier AI lab. The onsite includes a collaboration / research-discus...

Machine Learning
29
0
198 people solved
Apr 13, 2026
OpenAI logo
OpenAI
Medium
Software Engineer Locked

Design CI/CD Build Caching

This question evaluates design skills around CI/CD build caching, including distinguishing cache types (dependency caches, compiler outputs, container...

System Design
20
0
318 people solved
May 26, 2026
OpenAI logo
OpenAI
Hard
Software Engineer

Design an SSH-Based Cloud Development Environment

Design an SSH-Based Cloud Development Environment Design a cloud development environment that is accessed by SSH rather than through a browser. Users ...

System Design
1
0
8 people solved
Jun 25, 2026
OpenAI logo
OpenAI
Medium
Machine Learning Engineer Locked

Debug a Broken Transformer

This question evaluates proficiency in debugging and reconfiguring Transformer-based deep learning models, covering competencies in model internals (a...

Machine Learning
100
0
798 people solved
Mar 3, 2026
OpenAI logo
OpenAI
Medium
Software Engineer Locked

Design a Text-to-Video Generation Service

This question evaluates understanding of ML system design, distributed scheduling, durable asynchronous job pipelines, GPU resource orchestration, and...

ML System Design
13
0
149 people solved
May 22, 2026
OpenAI logo
OpenAI
Medium
Software Engineer Locked

Find and Count Maximum-Score Grid Paths

Find the maximum-scoring path from a fixed top-row cell to the last row of a grid using diagonal, downward, and limited two-row jump moves. Return the...

Coding & Algorithms
3
0
27 people solved
Jun 11, 2026
OpenAI logo
OpenAI
Hard
Software Engineer Locked

Aggregate Recent Message Events And Active Chats

Prepare for a stateful event aggregation coding prompt over chat events and active chats in a rolling five-minute window. The question is useful for d...

Coding & Algorithms
65
1
428 people solved
Jun 5, 2026
OpenAI logo
OpenAI
Hard
Data Scientist

Debug and fix a PyTorch Transformer training loop

Minimal Causal LM Debugging and Optimization You are given a tiny causal decoder-only language model implemented in PyTorch. It appears to "train" but...

Machine Learning
305
0
2070 people solved
Oct 13, 2025
OpenAI logo
OpenAI
Hard
Software Engineer Locked

Design a Distributed Crossword Solver

This question evaluates competency in distributed systems design, algorithmic search and constraint satisfaction (e.g., DFS with constraint propagatio...

System Design
58
0
948 people solved
May 12, 2026
OpenAI logo
OpenAI
Medium
Machine Learning Engineer

Design First-Fit and Best-Fit Memory Allocation

Design First-Fit and Best-Fit Memory Allocation Design a simplified allocator over one contiguous arena of N bytes. It supports: - allocate(size, stra...

Software Engineering Fundamentals
4
0
47 people solved
Apr 19, 2026
OpenAI logo
OpenAI
Hard
Data Scientist

Design a free-month experiment

An online subscription product is considering a promotion that gives eligible new users their first month free instead of charging immediately. Design...

Analytics & Experimentation
53
0
386 people solved
Feb 3, 2026

Frequently Asked Questions

How difficult are OpenAI interview questions for software and ML roles in 2026?
OpenAI interviews in 2026 are challenging but not purely puzzle-driven: they reward practical engineering, systems thinking, and domain depth. Expect coding rounds that favor real-world tasks (reading and modifying components, debugging, performance-minded implementations) over contrived LeetCode riddles, plus heavy system and ML design for senior roles. Difficulty varies by track: Software Engineer interviews emphasize scalable distributed systems and orchestration; Machine Learning and Research tracks dig deeper into math, experiment design, and paper-level reasoning. Overall the loop is selective; prepare for multi-hour virtual onsites and high bar on correctness, clarity, and tradeoff justification.
What is the OpenAI interview process stage by stage and where do different question types appear?
The process typically starts with a recruiter or sourcer screen (30 minutes) covering fit and logistics, then a technical phone screen or hiring manager call that mixes coding and role-specific questions. Many loops include a paid or take-home exercise in applied roles, then a virtual onsite of four to six rounds: coding/debugging, system or ML systems design, a technical deep dive on your past work, and behavioral/mission-alignment conversations, followed by team-match interviews. Coding and Algorithms and Data Manipulation show up in early screens and onsite coding rounds; System Design and ML System Design dominate senior SWE and MLE rounds; Data Scientist rounds focus more on SQL, experiments, and A/B analysis.
How should I schedule my preparation and what timeline is realistic before interviewing at OpenAI?
Plan a 4–8 week preparation block aligned to the role. Weeks 1–2: solidify fundamentals—data structures, Python or chosen language fluency, and SQL skills with joins, windows, and CTEs. Weeks 3–4: practice role-specific system problems and ML fundamentals—distributed systems, caching, consistency, and experiment design. Weeks 5–6: run mock onsites, do timed coding, and prepare technical deep dives (projects, papers, metrics). Final 1–2 weeks: polish behavioral stories, team-fit pitch, and revisit tricky system/ML topics like checkpointing, numerical stability, and orchestration. Allow extra time if you must rebuild ML coding from scratch or reproduce papers.
What specific subtopics and problem types recur for OpenAI roles (coding, system design, ML, and data)?
For Software Engineers expect distributed-systems themes such as consistent hashing rings with virtual nodes, GPU job schedulers for text-to-video workloads, exactly-once payment processing, versioned social follow graphs, and video generation orchestration. Machine Learning Engineers see resumable iterators with checkpoint/restore, streaming entropy and numerical stability, 1-NN implementations and matrix gradient tricks, debugging MiniGPT-style training, mining novel images, and noisy-annotator strategies. Data Scientists focus on SQL for repeat churn, free-month promotion A/B tests, signup/retention lift calculations, and experiment measurement. Mobile and frontend roles weight architecture (MVVM, Compose) and model-usage quotas.
What are standout preparation tips and common pitfalls to avoid for OpenAI interviews?
Emphasize production-ready thinking: write clear, testable code, explain failure modes, and design for observability and reproducibility. For ML/research tracks, be ready to discuss papers, experimental design, statistical power, and how you'd debug and reproduce training runs. Avoid over-optimizing for abstract puzzle tactics; interviewers want debugging instincts, tradeoff reasoning, and a path to shipable systems. Common pitfalls include ignoring edge cases (concurrency, exactly-once semantics), skimming data-quality implications in experiments, failing to justify metric choices, and not framing past work in terms of tradeoffs and measurable impact during technical deep dives and team-match conversations.

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