Senior+ ML System Design Interview Questions
Practice the exact questions companies are asking right now.
"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 "Future Best-Sellers" Prediction and Recommendation System
Design a "Future Best-Sellers" Prediction and Recommendation System An e-commerce platform wants a new feature on its category pages. A user selects a...
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...
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...
Design payment fraud detection
Design a machine learning system for fraud detection in an online payment platform. The system should score transactions before or shortly after autho...
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 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 Personalized Promotion Recommendations
Design an offline personalized recommendation system for promotional products. The system should periodically generate ranked product or offer recomme...
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 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...
Improve Trust in a RAG System
You own an enterprise retrieval-augmented generation system used for high-stakes document question answering, such as mortgage underwriting, legal rev...
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 Harmful Content Detection
Design an end-to-end machine learning system to detect harmful user-generated content on a large online platform. Assume the platform accepts text and...
Design a Hybrid Evaluation Platform
Design an evaluation platform for model outputs that supports both human evaluation and automated LLM-based evaluation. The system should: - ingest pr...
Design AI-Powered Document Search
Design a system where users upload documents and later search them by structured fields and free-text keywords. The system should use a multi-step AI ...
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...
Optimize Model Serving Under 200ms
A data science team gives you a trained model and asks you to deploy it as an online inference service. The requirement is that a single prediction mu...
Design ML system for self-driving perception
You are interviewing for a Senior Machine Learning Engineer role on a self-driving car team. They ask you to design a machine learning system for obst...
Design Detection Systems for Risk and Safety
The machine learning system design rounds focused on designing end-to-end production systems for several detection problems: 1. Bank fraud detection: ...
Design a real-time home feed ranker
Scenario Design a real-time home feed (e.g., social or content platform) that is responsive to user engagement. Users open the app and see a ranked li...