OpenAI Interview Questions
Practice 228 real OpenAI interview questions for 2026. Covers top technical tracks — Coding & Algorithms, System Design, ML System Design, Machine Learning, and Data Manipulation (SQL/Python) — across Software Engineer, Machine Learning Engineer, Data Scientist, and Product Manager roles. OpenAI interview questions here focus on clean, production-ready code, rigorous system tradeoffs, and ML-system thinking; this collection is intended for interview preparation with detailed solutions drawn from actual interviews. Expect a coding-heavy loop that rewards clear complexity reasoning and robust testing, plus system-design rounds that dig into multi-tenant architecture, GPU-efficient services, and datastore durability. For Software Engineers, recurring themes include file-backed storage and persistence, multi-tenant IDEs and hosted notebooks, graph/snapshot algorithms, distributed simulation, and GPU/resource accounting. Machine Learning Engineers face model-debugging and transformer KV-cache problems, extensible simulation engines, labeling pipelines and duplicate-detection systems, and real-time collaborative editing buffers. Data Scientists see SQL and experimentation work around churn and free-trial impact plus algorithmic implementations in NumPy. Product Managers should be ready to productize models and define monetization tiers. Use focused coding drills, system-design mocks that involve GPUs and multi-tenancy, ML-debugging exercises, and experiment-SQL practice for best results.
"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 a Distributed Rate Limiter
Design a distributed rate limiting system for a large API platform. The platform has many API gateways and backend services running across multiple re...
Implement 1NN with NumPy
Implement a 1-nearest-neighbor classifier from scratch using NumPy. You are given: - X_train: a NumPy array of shape (n_train, d) containing training ...
Design a Distributed Crossword Solver
Design a scalable service that solves crossword-style fill-in puzzles. A request contains a rectangular grid with blocked cells, empty cells, optional...
Design a Hosted Notebook Platform
Design a hosted notebook platform for interactive code execution, similar to a cloud-based notebook service. The system must support 500,000 concurren...
Design a Distributed Crossword Solver
Design a distributed solver for crossword-like word puzzles. You are given a grid containing blocked cells and empty cells, plus a dictionary of valid...
Design a Text-to-Video Generation System
Design a Sora-like text-to-video generation platform. Users submit a text prompt, optional generation settings, and possibly optional conditioning med...
Implement an Extensible Chatbot App
Implement a ChatApp class that processes user messages and bot responses. The system should support multiple bot types. The design must be extensible:...
Implement Backprop for a Tiny Network
Implement and explain the forward and backward pass of a small neural network using both NumPy and PyTorch tensors. Start with a batched input X of sh...
Filter Bad Human Annotations
You are given a training dataset labeled by human annotators, but some annotations are low quality, inconsistent, rushed, adversarial, or simply wrong...
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 cover: - Core entities such as us...
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 in an isolated sandbo...
Design Mobile Model Usage Quotas
Design the mobile and backend API flow for controlling access limits to different AI model versions in a ChatGPT-like mobile app. Requirements: - The ...
Build a Compose Rating Card
Implement an Android rating card using Kotlin and Jetpack Compose. Requirements: - The card lets the user provide a star rating and a written comment....
Convert IPv4 Ranges to CIDR Blocks
Implement a function that summarizes a consecutive IPv4 address range using the smallest possible list of CIDR blocks. You are given: - start_ip: a va...
Compute Matrix Prefix Products And Gradients
You are given N square matrices A[0], A[1], ..., A[N-1], each of shape D by D. Define the inclusive prefix products: Y[i] = A[0] @ A[1] @ ... @ A[i] w...
Design a Cloud DevBox Platform
Design a cloud DevBox platform: a service that provides developers with disposable or persistent remote development machines accessible through a brow...
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 annotators, ...
Improve Training With Noisy Annotators
You are given a labeled training dataset as a Pandas DataFrame. Each row contains features, an observed label, and an annotator identifier. The annota...
Debug MiniGPT and Backpropagate Matmul
This interview has two PyTorch-focused tasks. Part A: Debug a small GPT-style language model. You are given a mini transformer decoder that trains or ...
Design a Real-Time Chess Service
Design an online chess service that supports real-time two-player games. The system should allow users to create or join a chess game, make legal move...