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 GPU Scheduling for a Video Generation Platform
Prepare for a OpenAI system design interview about design gpu scheduling for a video generation platform. This question focuses on requirements, archi...
Implement a Simple Memory Allocator
Design and implement a simplified memory allocator exposing malloc(size) and free(ptr) over a single fixed-size heap (a contiguous byte array). The al...
Design a sandboxed cloud IDE
System Design: Sandboxed Cloud IDE (Colab-like) Design a multi-tenant, browser-based cloud IDE/notebook that lets users run code inside an isolated sa...
Design A ChatGPT-Style Assistant Product
Design a ChatGPT-style assistant product. Cover the user experience, conversation state, message streaming, model invocation, safety and error handlin...
Design a Tier-Aware AI Video Generation Service
Design a Tier-Aware AI Video Generation Service Prompt Design a service that accepts a generation request, runs an expensive video-generation workflow...
Refactor a Chatbot into Clean Object-Oriented Components
Prepare for a OpenAI software engineering interview question about refactor a chatbot into clean object-oriented components. The prompt highlights pra...
Design a Text-to-Video Generation System
Design a Sora-like text-to-video generation platform. Users submit a text prompt, optional generation settings (duration, resolution, fps, seed, model...
Improve Training With Noisy Annotators
You are given a labeled training dataset as a Pandas DataFrame. Each row contains feature columns, an observed label, and an annotator_id identifying ...
Improve classifier with noisy multi-annotator labels
Problem You are given a text dataset for a binary classification task (label in $\{0,1\\}$). Each example has been labeled by multiple human annotator...
Compute Matrix Prefix Products And Gradients
You are given $N$ square matrices $A[0], A[1], \dots, A[N-1]$, each of shape $D \times D$. Define the inclusive prefix (cumulative) products: $$Y[i] =...
Design a Video Generation Service with GPU Fleet Management
Design a Video Generation Service with GPU Fleet Management Design a service that accepts text or media prompts and asynchronously generates videos. F...
Implement Backprop for a Tiny Network
This question evaluates understanding of backpropagation, gradient derivation, numerical stability of softmax cross-entropy, and practical implementat...
Debug MiniGPT and Backpropagate Matmul
This is a hands-on PyTorch screen with two independent tasks. You share a code editor with the interviewer and are expected to run the code, read trac...
Design a RAG system with evaluation
Scenario Design a Retrieval-Augmented Generation (RAG) system that answers user questions over a private corpus (internal docs, PDFs, knowledge-base a...
Implement A Mobile Chat Interface In An Existing Codebase
You are given an existing mobile codebase and asked to implement a ChatGPT-style chat screen in about 40 minutes. Describe how you would read the proj...
Design a Text-to-Video Generation Platform (Sora-style)
This ML system design question evaluates a candidate's ability to architect the infrastructure around a large generative video model, including asynch...
A Project You Decided Not to Ship
This question evaluates judgment and ownership by asking about a project abandoned before release rather than one that shipped. It tests decision-maki...
Design an Agent Harness and Evaluation System
Design an Agent Harness and Evaluation System Design a harness and evaluation platform for a tool-using AI agent. The agent receives a user task, may ...
Debug a Concurrent Job Scheduler
You are handed a buggy Python job scheduler that runs many independent jobs concurrently. Each job has an ID, a callable to execute, a maximum retry c...
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 ...