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."
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 chatbot over structured and unstructured data
Design a chatbot that can answer user questions using both: - Structured data (e.g., relational tables such as orders, products, pricing, user account...
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 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 Product Feeds
Design an ML system for personalized product feeds in an e-commerce application. For each user request, the system should return a ranked feed of prod...
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...
Model other agents in simulation
Scenario You are building a driving simulation environment for training/evaluating an autonomous agent (planning or RL). Besides the ego vehicle, the ...
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 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 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 efficient Transformer inference with KV cache
You are implementing autoregressive inference for a decoder-only Transformer. 1) Explain what the KV cache is, what tensors are cached per layer, and ...
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 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 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 fraud detection system
Scenario You are designing an end-to-end fraud detection system for an online platform (e.g., e-commerce marketplace, payments, account signup, or ad ...
Design agentic workflow to generate a 1-hour movie
Prompt You’re asked to design an agentic workflow (multiple LLM/tools acting as “agents” under an orchestrator) that can generate a ~60-minute movie f...
Improve LLM reasoning for a domain task
You are building an LLM-powered product for a domain-specific task that requires multi-step reasoning. The base model does reasonably well on easy exa...
Design Harmful Content and OOM Detection
Design two machine learning systems: 1. Harmful content detection for LLM applications: Build a system that detects harmful user inputs or model outpu...
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 comment ranking
Design a large-scale ranking system for ordering comments under a post on a community platform similar to Reddit. When a user opens a post, the system...