Machine Learning Engineer ML System Design Interview Questions
Practice 181 real ML System Design interview questions for Machine Learning Engineer roles. From companies including OpenAI, Meta, Amazon, Snapchat, Google.
"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."
Build an end-to-end ML pipeline
Build an end-to-end ML pipeline ML System Design: Shipment Delay Risk Scoring From a Single CSV You are given a CSV of shipment events with the follow...
Design LLM-enhanced recommendation solutions
Design LLM-enhanced recommendation solutions System Design: Incorporating Large Language Models (LLMs) into a Large-Scale Recommendation System Contex...
Design training for multimodal embedding model
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Design Jira bug-to-team classification system
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Design a recommendation system for Jira issues
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Design image and multimodal generation systems
System Design: Image Generation and Multimodal Generation Part 1 — End-to-End Image Generation System Design an end-to-end image generation system. Co...
Design nearby place recommendations
Real‑Time Nearby Places Recommendation System Context Design a mobile feature that recommends nearby places (e.g., restaurants, shops, attractions) to...
Design real-time top-K POI retrieval on maps
Real-Time Top-K POIs in Viewport: System Design Context Design a real-time system for a mobile map that continuously shows the top-K points of interes...
Design a real-time home feed ranker
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Infer user intent from typing in real time
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Design a RAG-based assistant service
Scenario You need to build a Retrieval-Augmented Generation (RAG) assistant for an enterprise product. It should answer questions using internal docum...
Design a product-feed recommendation system
Design an end-to-end recommendation system that generates a personalized product feed for users. What to cover - Requirements: user experience goals (...
Debug a GPT training pipeline
Fix three bugs in a minimal GPT to meet a training-loss target You are given a Colab notebook with a minimal GPT-style language model implemented in P...
Design a Skills inference system
Design an end-to-end ML system to power a "Skills" feature for a professional social network. The product wants to: - Extract and infer a member’s ski...
Design a natural-language AEP Q&A assistant
Design a natural-language AEP Q&A assistant System Design: Natural-Language Assistant for Adobe Experience Platform (AEP) Goal Design a natural-langua...
Explain ML statistics and model design concepts
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Deep-dive your GenAI project architecture
Deep-dive your GenAI project architecture GenAI System Deep-Dive: End-to-End Design and Scale Strategy Provide a structured walkthrough of a productio...
Approach an ambiguous business problem
In a science-application interview, you are given a business problem that is intentionally vague. The interviewer wants to see how you handle ambiguit...
Design a pin search engine
Design a search engine for visual content items such as Pinterest pins. The system should return relevant pins for a user query while balancing visual...
Design query generation to maximize CTR
Design query generation to maximize CTR Design an end-to-end query-generation system that maximizes click-through rate (CTR) for a large-scale search/...