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."
Select high-quality math documents from crawls
This ML System Design question evaluates the ability to design scalable, production-grade pipelines for extracting and quality-scoring mathematical co...
Design an in-memory database
Design an in-memory database System Design: In-Memory Database Engine (Single-Node Core, Scale-Out Aware) Context Design the core of an in-memory, sin...
Analyze A/B Test Results for Subscription Conversion Rates
Analyze A/B Test Results for Subscription Conversion Rates An A/B test offers free users a limited-time trial of the paid plan to see whether it incre...
Design a social network with snapshots
This question evaluates understanding of data structures, graph representations, immutability and snapshot/versioning strategies for in-memory systems...
Design a ChatGPT-like web chat UI
This English summary evaluates a question that assesses front-end–focused system design competencies such as UI architecture, real-time streaming inte...
Explain JS threading and useState vs useRef
Answer the following conceptual questions about JavaScript and React: 1. JavaScript and multithreading - How does JavaScript's execution model wo...
Write SQL to compute signup and retention lift
You are analyzing an A/B test for a marketing campaign that offers a free 1‑month trial. Assume all timestamps are in UTC. Tables experiment_assignmen...
Add Consecutive-Value Bonuses to Grid Paths
Extend the maximum-score grid path with bonuses for equal adjacent values and strictly increasing triples of visited cells. Dynamic programming must r...
Simulate turn-based monster team battle
Design an object-oriented model and implement the core battle logic for a turn-based fight between two teams of monsters. The system should simulate t...
Design a low-latency RAG system
Design a Low-Latency RAG System for Customer Support Problem Statement Design a production-grade retrieval-augmented generation (RAG) system that powe...
Design an online ads serving system
System Design: Low-Latency Targeted Ad Serving (≤100 ms E2E) You are designing an online advertising serving system for web/app inventory with a stric...
Design credit balance with vector-clock expirations
Credit Balance Service with Vector-Clock Expiries You are designing a backend service that maintains per-user promotional credits. Credits are granted...
Design a Slack-like real-time messaging system
This question evaluates a candidate's competency in designing scalable, fault-tolerant real-time messaging systems, including message persistence and ...
Design a payment system
This question evaluates a candidate's competency in designing secure, reliable payment architectures, covering API design, transaction lifecycle manag...
Design an End-to-End ML System
Design an End-to-End ML System System Design: Real-Time Recommendation ML System Context You are tasked with designing an end-to-end machine-learning ...
Design Schema for Accurate Subscription State Tracking
subscription_events +----------+---------------------+-----------+-----------+ | user_id | event_ts | event_type| plan_type | +----------+...
Design a multi-device calendar application
This question evaluates system design competency in scalable backend architecture, data modeling for time-range queries, synchronization and conflict-...
Design an enterprise RAG assistant for internal docs
Scenario Design an enterprise GPT-style assistant that allows employees to ask questions about internal company documents (policies, wikis, specs, tic...
Track Expiring GPU Credits
This question evaluates event-replay and time-window accounting skills, including temporal data structures, priority-based consumption, out-of-order e...
Streaming Entropy with Numerical Stability
This question tests a candidate's ability to implement numerically stable online algorithms for computing Shannon entropy over streaming data. It eval...