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."
Design RAG Evaluation and Debugging
You own a production RAG-powered semantic search feature for a fintech product. Users enter natural-language questions; the system retrieves relevant ...
Design Comment Prediction Ranking System
Design an end-to-end machine learning system that powers the following prediction API: ` will_user_comment_on_posts(user_id, post_ids) -> scores ` Inp...
Optimize LLM Training and Serving
You are working on the training and deployment stack for a Transformer-based large language model (LLM). The model is decoder-only, served to producti...
Improve Keyword Search Ranking
You are an ML engineer on a search product that today relies on a keyword-based index (an inverted index with lexical matching, e.g. TF-IDF / BM25). U...
Design a Revenue Ranking Platform
Design a machine learning recommendation and ranking system for a consumer finance marketplace such as Credit Karma. The product shows each user a set...
Build a Candidate Search System
Build an end-to-end candidate search system for recruiting. Given a job posting, your system must return the best-matching candidates from a candidate...
Design a Game Recommendation System
Design an end-to-end machine learning recommendation system for a large online gaming platform (think of a creator marketplace with millions of user-g...
Design Video Intelligence for Investigations
Design a law-enforcement video intelligence system that helps investigators search, reason over, and locate evidence-relevant moments across very larg...
Design Employee-to-Employee Distance
Design an employee-to-employee distance system for a large company. The system takes two employees as input and returns a meaningful "distance" (or, e...
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 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 a Fraud Detection System
Design a machine learning system for a fintech data-connectivity platform such as Plaid that detects fraudulent activity across the user lifecycle — b...
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: ...
Design Personalized Promotion Recommendations
Design an offline personalized recommendation system for promotional products. The system should periodically generate ranked product or offer recomme...
Build an Ollama Eval Harness
Design and implement a lightweight evaluation harness for a language model served locally through Ollama. The harness should: - Read a dataset of eval...
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 User Embedding Semantic Search
Design a user-embedding-based two-stage semantic retrieval and ranking system for a short-term rental marketplace. The goal is to retrieve and rank pr...
Design an app-store app recommendation system
You are building an app recommendation system for a mobile app store. Goal Recommend apps to a user on surfaces such as: - Home feed / “Recommended fo...
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...