OpenAI Machine Learning Engineer ML System Design Interview Questions
Practice 19 real ML System Design interview questions for Machine Learning Engineer roles at OpenAI.
"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 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...
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 ...
Mine Novel Images from Unlabeled Data
Design a machine learning system that mines novel or interesting images from a massive, unlabeled image corpus. The corpus is far too large for exhaus...
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: ...
How would you build an image classifier with dirty data?
This question evaluates a candidate's ability to design end-to-end image classification systems and manage noisy image datasets, testing competencies ...
Design and optimize a RAG system
Scenario You are building a Retrieval-Augmented Generation (RAG) system for question answering over an internal document corpus (engineering wikis, de...
Design an ML search system with RAG
Design an ML search system with RAG System Design: ML-Powered Enterprise Search with RAG Design an ML-powered enterprise search system using Retrieval...
Design a recommendation system end-to-end
Design a Recommendation System End-to-End You are asked to design a large-scale recommendation system that powers a personalized feed — for example, a...
Design a production RAG system
Question Design a production retrieval-augmented generation (RAG) system for enterprise document QA. Walk through the end-to-end architecture and just...
Design a harmful video content moderation system
Question Design an end-to-end system to detect and moderate harmful videos on a large platform. Requirements - Detect multiple policy categories (viol...
Design a chatbot fallback for unknown questions
Scenario You run a ChatGPT-like assistant. Users sometimes ask questions the model cannot answer reliably (unknown/uncertain/needs up-to-date facts). ...
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 ML search system
Design an ML‑Powered Enterprise Document Search System Context You are designing a multi‑tenant enterprise search system that indexes documents from m...
Design enterprise RAG search system
Design enterprise RAG search system Design an End-to-End Enterprise RAG Search System Background You are tasked with designing a Retrieval-Augmented G...
Design an image/video near-duplicate detection system
Question Design a system to detect near-duplicate images/videos (e.g., reuploads, minor edits, different encodes) at large scale. Requirements - Suppo...
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 AWS fine-tuning platform for LLMs
Scenario You need to build a system that lets customers fine-tune their own large language model (LLM) on AWS. Task Design a managed platform where us...
Design an OOD detection system
This question evaluates a candidate's competency in ML system design, specifically out-of-distribution detection, production monitoring, interpretabil...
Design LLM search handling long token inputs
Design an LLM-powered search and question-answering system over a large corpus of documents such as internal wikis, PDFs, logs, contracts, and web pag...