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 Detection Systems for Risk and Safety
This question evaluates a machine learning engineer's competence in designing end-to-end detection systems for risk and safety, covering skills in dat...
Design a Production ML Serving System
This question evaluates a candidate's competency in operating and scaling ML-powered production systems, focusing on scaling, reliability and fault to...
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...
Design a cold-start video recommender
This question evaluates proficiency in ML system design for recommender systems, focusing on cold-start handling, integration of content and graph fea...
Design an enterprise RAG agent system
Design an enterprise AI assistant for internal company knowledge. The system should answer employee questions over documents such as policies, product...
Present a Marketplace ML Project Deep Dive
In a Machine Learning Engineer interview for a pricing, marketplace, or growth team, present a recent representative ML project. Your deep dive should...
Design a scalable MoE pretraining pipeline
Design a Large-Scale MoE Pretraining Pipeline (Bilingual LLM, 1T Tokens, 256×A100-80GB) Context You are designing a pretraining pipeline for a decoder...
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...
Design video captioning under compute limits
Scenario You work on a multimodal team at a large short-video platform. The team has a multimodal large model that takes a video (sampled frames, with...
Design a computer-use agent end-to-end
This question evaluates competency in designing end-to-end multimodal interactive ML systems, including perception from pixels and accessibility trees...
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 restaurant recommendation system
Question Design a restaurant recommendation system for a food delivery marketplace such as Uber Eats. When a user opens the home page, the system shou...
Design hierarchical product classification
This question evaluates a candidate's ability to design end-to-end machine learning systems for hierarchical product classification, covering competen...
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 a CPA system for ad bidding
This question evaluates a candidate's competency in ML system design for online advertising, covering modeling conversion probability and value (e.g.,...
Design an ML-powered search system
This question evaluates a candidate's ability to design end-to-end ML-powered search systems, testing competencies in information retrieval, ranking, ...
Design a video recommendation system
This question evaluates competency in building scalable, low-latency personalized recommendation systems, covering candidate generation and ranking, f...
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 short-video retrieval with sparse text
You are designing the candidate-generation (retrieval) and recommendation system for a short-video app. Constraints and setting: - Users can search wi...
Design a hierarchical multi-label classifier
System Design: Hierarchical Multi-Label Classifier for Noisy Taxonomy Context You have a catalog of items with hierarchical tags (e.g., Category → Sub...