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."
Analyze matrix multiplication complexity
In an ML coding interview, you're handed a PyTorch file and asked a series of complexity questions about the operations in it. One of them: Given two ...
Implement and Debug Backprop in NumPy
Two-Layer Neural Network: Backpropagation and Gradient Check (NumPy) You are implementing a fully connected two-layer neural network for multi-class c...
Design GPU credit allocator
Design a GPU Credit Allocation System Design a GPU credit allocation system for a multi-tenant compute platform (for example, OpenAI's GPU infrastruct...
Design an AI playground editor
This question evaluates full-stack system design competencies including real-time response streaming, rich-text editor data modeling, backend APIs, pe...
Design a Distributed Crossword Solver
This question evaluates competency in distributed systems design, scalable indexing and storage, parallel search and constraint-satisfaction reasoning...
Implement a Distributed Rate Limiter
This question evaluates a candidate's ability to design and implement a distributed rate-limiting mechanism, testing knowledge of distributed systems,...
Design an Instagram-like Feed System
This question evaluates a candidate's competency in large-scale distributed system design, focusing on feed generation, data modeling, storage choices...
Design a Reliable Payment Processing System
Design a Reliable Payment Processing System Design a payment-processing service for merchants. A client creates a payment, the service submits it to a...
Debug Transformer and Add KV Cache
This question evaluates debugging and implementation skills for transformer-based autoregressive language models, focusing on attention mechanics, pos...
Debug a broken Transformer implementation
You are given a small Transformer model implementation (e.g., in PyTorch) plus a tiny training script. The code executes, but the model does not match...
Consistent Hashing Ring with Virtual Nodes for Shard Rebalancing
This question evaluates a candidate's ability to design and implement a consistent hashing ring with virtual nodes for distributing keys across shards...
Design Duplicate File Detection
This question evaluates system design and storage engineering skills, including scalable file-processing, efficient I/O and resource management, corre...
Implement NumPy neural-network layers
This question evaluates competency in implementing neural-network layers and array algebra in NumPy, including matrix multiplication, broadcasting rul...
Design a Real-Time Sensor Intelligence System
Design an end-to-end real-time sensor intelligence system for a product team. Start from ambiguous product requirements and cover the full lifecycle: ...
Design a scalable payment system
Design a scalable payment system Design a scalable payment system. The system must support both peer-to-peer money movement between users and merchant...
Infection Spread Simulation with Death Threshold
This question evaluates a candidate's ability to implement grid-based simulation with multi-state cellular automaton logic, testing practical applicat...
Design Mobile Model Usage Quotas
This question evaluates a candidate's ability to design a server-backed quota system and its Android client integration, covering API contract design,...
Debug transformer and train classifier
Debug and Fix a Transformer Text Classifier, Then Train and Evaluate It You inherit a small codebase for a transformer-based text classifier. It ships...
Build a Reliable Streaming Chat UI
You are building a React-based chat interface where assistant responses stream into the UI token by token in real time (the same UX as a typical LLM c...
Design an Extensible Simulation Engine
This question evaluates object-oriented design, state modeling, API design, modularity, testability, and the ability to architect an extensible simula...