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.
"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"
"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"
"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."
"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."
"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."
"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."
"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."
"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."
"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."
"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."
"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."
"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."
"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."
"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Design a Multi-Tenant Online IDE
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Schedule Incremental Labeling Tasks
This question evaluates skills in designing stateful incremental schedulers, fairness and load-balancing algorithms, deterministic tie-breaking, and e...
Implement vectorized NumPy ops and explain broadcasting
Implement vectorized NumPy code for: (a) computing pairwise cosine similarity between two real-valued matrices X (shape n×d) and Y (shape m×d) without...
Design an in-memory key-value database
Design an in-memory key-value database Design an In-Memory Key–Value Database (Technical Screen) Context Build an in-memory key–value (KV) database th...
Implement a memory allocator with malloc/free
Problem You are implementing a simplified memory allocator over a contiguous memory region. Initialize the allocator with a fixed total size: - alloca...
Generate Data Labeling Schedules
A data labeling platform manages tasks, AI models, and human annotators. Each entity has a 1-indexed string ID. You are given four integers: totalTask...
Implement IPv4 iterators and CIDR expansion
Problem: IPv4 Iterators and CIDR Expansion You are implementing utilities to iterate over IPv4 addresses. An IPv4 address is in dotted-decimal form: A...
Discuss views on AI safety and its impacts
You are interviewing for an AI-focused company. The interviewer spends most of the behavioral interview asking about your views on AI safety and its b...
Design a regional surge pricing strategy
Scenario You operate a ride-hailing platform. You need to design a system that sets surge multipliers (dynamic pricing) for a given region. Task Desig...
Design an image/video near-duplicate detection system
Question Design a system to detect near-duplicate images/videos (e.g., reuploads, minor edits, different encodes) at large scale. Requirements - Suppo...
Design a search query autocomplete system
Question Design a search autocomplete system that suggests completions as the user types. Requirements - Sub-100ms latency per keystroke. - Suggestion...
Explain motivation and mission alignment
In a behavioral interview for a mission-driven tech company, you are asked two related questions: 1. Why do you want to join this company? 2. How do...
Design enterprise RAG search system
Design enterprise RAG search system Design an End-to-End Enterprise RAG Search System Background You are tasked with designing a Retrieval-Augmented G...
Build and troubleshoot image classification and backprop
Build and troubleshoot image classification and backprop CIFAR-like Noisy Dataset: Baseline, Data Quality Plan, and First-Principles Backprop Context:...
Design an ML search system
Design an ML‑Powered Enterprise Document Search System Context You are designing a multi‑tenant enterprise search system that indexes documents from m...
Implement a Contiguous Memory Manager
This question evaluates competence in designing efficient data structures and algorithms for interval management, contiguous allocation and deallocati...
Simulate Grid Infection
This question evaluates skills in multi-source breadth-first search, synchronous simulation updates, boundary handling, and off-by-one correctness wit...
Simulate Turn-Based Monster Battles
This question evaluates the ability to implement a turn-based battle simulation with correct state management, turn semantics, knockout handling, dama...
Design a Resumable Iterator with Checkpoint and Restore
Design a resumable iterator: an iterator that can serialize its current position into a compact, opaque checkpoint and later be reconstructed from tha...
Design Restart Strategy for Oracle Solver
This question evaluates understanding of probabilistic runtime analysis and restart strategies for randomized (Las Vegas-style) solvers, including exp...