Machine Learning Engineer ML System Design Interview Questions
Practice 194 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."
Design search autocomplete ML system
Design an ML-powered search autocomplete system that suggests query completions as the user types (e.g., after typing a prefix like "ipho" suggest "ip...
Design a RAG system with agentic tools
Design a Retrieval-Augmented Generation (RAG) question-answering system for an enterprise knowledge base. Requirements: - Users ask natural-language q...
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 a scalable video search system
Design a scalable video search system Design a Text-to-Video and Video-to-Video Search System Context You are tasked with designing an end-to-end mult...
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 a real-time home feed ranker
This question evaluates an engineer's ability to design scalable, low-latency real-time recommendation and ranking systems that integrate personalizat...
Design a Family-Friendly Listing Classifier
Design a machine learning system for a short-term rental marketplace that classifies whether a property listing is suitable for families. Users should...
Design a Product or Video Recommendation System
Design a recommendation system for a large consumer platform. The platform may recommend either products in an e-commerce feed or videos in a media fe...
Design an end-to-end training framework
Design an end-to-end training framework Design an End-to-End Time-Series Forecasting Framework (PyTorch) You are tasked with designing a production-gr...
Design a model downloader
This question evaluates a candidate's competency in ML system design and distributed systems, covering model lifecycle management, versioning, integri...
Design notification and feed recommenders
This question evaluates an engineer's ability to design scalable, production-ready recommendation systems for notifications and home feeds, encompassi...
Design an inference routing and scheduling layer
System Design: Routing Layer for Heterogeneous Inference Backends (GPU/CPU) Context You are asked to design a routing layer that sits between a user-f...
Prevent Private Code Leakage in Coding Agents
This question evaluates competency in ML system design, data privacy and security, model training and inference safeguards, and mechanisms for detecti...
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...
Predict future time-series values
Predict future time-series values End-to-End Time-Series Forecasting (PyTorch) Context You are given one or more regularly sampled numeric time series...
Design a Short-Video Recommendation System
This question evaluates competency in designing large-scale short-video recommendation systems, including machine learning model selection, candidate ...
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 game genre classifier
This question evaluates system design and machine learning competencies, including multi-modal modeling (text, images, tabular), data and label qualit...
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 Large-Scale Inference Serving
Design a production inference serving system for a machine learning model used by 100 million daily active users. Your answer should cover: traffic as...