Machine Learning Engineer ML System Design Interview Questions
Practice 168 real ML System Design interview questions for Machine Learning Engineer roles. From companies including OpenAI, Meta, Amazon, Snapchat, Microsoft.
"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 Food Delivery Recommender
Design a recommendation system for a food delivery app similar to Uber Eats. When a user opens the home page, the system should recommend restaurants ...
Prevent Private Code Leakage in Coding Agents
Meta trains or fine-tunes coding agents using private source-code repositories. These agents may later be used to answer coding questions, generate co...
Design a Drop-off Spot Selector
Design an ML-driven decision system for an autonomous ride-hailing vehicle that must choose where to stop when a passenger is arriving at the destinat...
Design Place Recommendation System
Design a machine learning system for a maps or local-discovery product that recommends places a user may want to visit. The system should provide pers...
Design a RAG system with evaluation
Scenario You are asked to design a Retrieval-Augmented Generation (RAG) system that answers user questions using a private corpus (e.g., internal docs...
Design a game genre classifier
Design an end-to-end machine learning system that classifies a video game into one or more genres from scratch. Assume you are building this for a gam...
Design a feed ranking system
Design a machine-learning-based feed ranking system for a consumer product. The system should rank candidate posts or items for a user's home feed in ...
Design hierarchical product classification
Design an end-to-end machine learning system that classifies products into a hierarchical taxonomy such as department -> category -> subcategory. Assu...
Design a Product Search System
Design a product search system for a large e-commerce marketplace. Users enter free-text queries such as wireless headphones, apply filters such as pr...
Design a model downloader
Design a system that distributes machine learning model artifacts from centralized storage to a large fleet of inference servers. The system should su...
Design an HR Document AI Platform
Design an internal AI platform for a bank's HR organization. The platform should ingest HR documents such as policies, benefits guides, onboarding man...
Design a Production ML Serving System
You are given an existing ML-powered production system that serves online user requests. The interview focuses not on changing the model architecture ...
How would you build an image classifier with dirty data?
Scenario You are asked to build an image classification model (single-label, multi-class) for a product team. The image dataset is known to be dirty (...
Design a video recommendation system
Scenario You are designing an ML-driven video recommendation product (home feed + “up next”) for a consumer app. The interviewer focuses heavily on in...
Design a Short-Video Recommendation System
Design an end-to-end recommendation system for a short-video feed product. The system serves a large user base and must choose and rank videos for eac...
Design and optimize a RAG system
Scenario You are building a Retrieval-Augmented Generation (RAG) system for question answering over an internal document corpus. Task Design the end-t...
Design an ads ranking ML system
Prompt You are designing an ads ranking system for a large consumer app (feed/search entry point). For each request, the system receives a user contex...
Design Feed Ranking and HTML Generation
The ML system design portion covered two prompts. 1. Design a personalized home feed for a collaborative design product. Explain the end-to-end ML sys...
Design notification and feed recommenders
Design two recommendation systems for a large visual-discovery platform: 1. Notification recommendation system: Decide whether to send a notification ...
Design Nearby and Notification Ranking
Two machine learning system design prompts were mentioned: 1. Nearby place recommendation for a mobile user Design a real-time recommendation syste...