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 KV store serialization
Implement serialization and deserialization for an in‑memory key‑value store to and from a contiguous bytes buffer. Keys are UTF‑8 strings; values may...
Implement Three Research Coding Tasks
This multi-part question evaluates skills in differentiable linear algebra and automatic differentiation safety, memory- and buffer-aware numerical im...
Design animal translator and premium tier
Answer two product strategy prompts: 1. Design an animal-human translation product. Explain how you would design the product, choose initial target us...
Find earliest supporting dependency version
Question Given a list of dependency versions (e.g. [103.003.02, 103.003.03, 203.003.02]) and a black-box API isSupported(v), design an algorithm to fi...
Evaluate a free-trial A/B test
This question evaluates skills in experimental design, causal inference and statistical analysis, metric definition and instrumentation, data-quality ...
Implement node messaging and path discovery
You have a network where each node knows only its parent and its children and can send messages to its parent and children. 1) Implement a sendMessage...
Design a CI/CD system with live log streaming
This question evaluates a candidate's ability to design scalable CI/CD architectures including shell-script job orchestration, DAG-aware scheduling, r...
Infer Generic Return Types
This question evaluates understanding of type systems, generic unification, recursive data structures, substitution mechanics, and robust error handli...
Implement GPU credit ledger
You manage a GPU pool with per-tenant credits. Given a list/stream of events where each event adjusts a tenant’s credit balance by a signed integer (p...
Count Nodes Using Asynchronous Messages
You are given the identifier of a root node in a distributed network. Each node represents a separate machine. A node cannot directly inspect another ...
Rebalance shard ranges under overlap limit
This question evaluates skills in interval and range management, constraint enforcement, and algorithmic problem solving related to overlapping intege...
Design plant-infection algorithms
This question evaluates algorithm design and simulation skills for a data scientist role, focusing on modeling contagion spread on an m-by-n grid, eve...
Compute Plant Infection Stabilization
This question evaluates a candidate's ability to model and simulate discrete-time state transitions on grids, reason about propagation dynamics and ev...
Design a crossword puzzle solver system
This question evaluates algorithm design, constraint solving, efficient lookup data structures, and system scalability for handling large dictionaries...
Design a distributed crossword solving service
This question evaluates distributed systems and large-scale backend architecture skills, including task decomposition, scheduling, dynamic load balanc...
Find the First Working Version
This question evaluates understanding of search algorithms, version normalization, and monotonic predicates, along with competency in parsing and orde...
Design a distributed crossword fill solver
This question evaluates understanding of distributed systems, constraint-satisfaction modeling, scalable search and parallelization, along with fault ...
Implement a Simulated Memory Allocator
Implement a simulated memory allocator that supports allocate(size) and free(ptr) operations analogous to malloc and free. Treat memory as a contiguou...
Implement a GPU credit manager
Implement a GPU credit manager for a compute cluster. Each user has a nonnegative credit balance that can be increased (grantCredits(user, amount)), c...
Implement in-memory KV store with serialization
Implement an in-memory key-value store in Python that supports setting and retrieving values and can serialize and deserialize the entire store. Defin...