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."
Implement IP Address Arithmetic
This question evaluates proficiency in IP addressing, parsing and validation, binary/address-space arithmetic, CIDR subnet calculation, and formatting...
Design a multi-tenant CI/CD platform
Question Design a multi-tenant CI/CD system that runs pipelines triggered by Git activity, isolates tenants from one another, and scales to thousands ...
Explain your perspective on AI safety
You are working in a company that builds and deploys advanced AI systems (e.g., large language models, recommendation systems, vision models) that are...
Train and analyze a classifier
You are given a labeled dataset for binary classification. Implement an end-to-end Python solution that trains a classifier and analyzes it to a produ...
Answer project deep dive and cross-functional questions
Behavioral / leadership round prompts You’re asked to cover some or all of the following: 1. Technical deep dive presentation - Prepare a short sli...
Design Android MVVM API Architecture
This question evaluates a candidate's skill in designing Android client-side MVVM architecture, testing competencies in layered decomposition, HTTP re...
Spreading Contagion on a Grid
This question tests graph traversal and multi-source BFS on a 2D grid, evaluating a candidate's ability to model simultaneous state propagation across...
Search Monster Battle Strategies
This question evaluates algorithmic problem-solving around deterministic simulation and state-space exploration, focusing on handling transient state ...
Explain what torch.distributed.barrier does
Question In PyTorch distributed training, what does torch.distributed.barrier() do? Follow-ups - Give an example of when you would use it. - What are ...
Design an ML search system with RAG
Design an ML search system with RAG System Design: ML-Powered Enterprise Search with RAG Design an ML-powered enterprise search system using Retrieval...
Design in-memory database API
Design an In-Memory Database: Insert, Query, and Indexing Design and implement a minimal, single-process, in-memory database intended to be embedded i...
Maintain Entropy for a Streaming Distribution
A stream emits categorical observations one at a time. After each observation, report the empirical Shannon entropy of all observations seen so far: H...
Design a chatbot (system design)
Question Design an AI chatbot system with a front-end focus, under the following hard constraints: 1. User messages and conversation history are store...
Design a production RAG system
Question Design a production retrieval-augmented generation (RAG) system for enterprise document QA. Walk through the end-to-end architecture and just...
How to answer common recruiter screen questions
Question You are in an initial recruiter / phone screen for a software engineering role at OpenAI. The recruiter asks a mix of logistics, employment-h...
Build a Streaming Chat Input
Implement a minimal front-end chat interface, similar to a stripped-down AI assistant (think a bare-bones ChatGPT). The user types a prompt, submits i...
Design a chatbot fallback for unknown questions
Scenario You run a ChatGPT-like assistant. Users sometimes ask questions the model cannot answer reliably (unknown/uncertain/needs up-to-date facts). ...
Design a Payment System
Design a Payment System Design the backend payment system for an online platform that charges customers for goods and services (for example, a marketp...
Design Real-Time Collaborative Editing
This question evaluates competence in distributed systems, real-time synchronization, concurrency control, data modeling, and automated conflict-resol...
Design and analyze a free-trial A/B test
A/B Test Design: 1‑Month Free Trial Impact on Paid Subscription Conversion You are evaluating whether offering a 1‑month free trial increases paid sub...