ML System Design Interview Questions
Practice 257 real ML System Design interview questions. From companies including OpenAI, Meta, Amazon, Anthropic, Google. For roles like Machine Learning Engineer, Software Engineer, Data Scientist.
"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 PDF-to-Markdown Inference API
Design an inference service that converts PDF files to Markdown. You can assume the following building blocks already exist: - A CPU-intensive functio...
Design a Food Delivery Recommender
Design a recommendation system for a food delivery app similar to Uber Eats. When a user opens the home page, the system should recommend restaurants ...
Design RAG Retrieval for Data Assets
Design the retrieval component for an internal AI coding assistant. When a user asks a data-related question, the assistant should identify the most r...
Design Uber Eats Restaurant Recommendations
Design a restaurant recommendation system for the Uber Eats home page. A user opens the Uber Eats app and should see a ranked feed of restaurants avai...
Design GPU inference request batching
Design a system that serves online model-inference requests on GPUs. Requests arrive one at a time from clients, but GPU throughput is much better whe...
Design an LLM API pipeline
You need to build a small application feature that calls a hosted large language model API to solve a user task. In the interview, you are expected to...
Design an Automated Ticket Investigation Agent
Design an AI-enabled agentic system that automatically investigates support or engineering tickets. The system should: - Read an incoming ticket and u...
Prevent Private Code Leakage in Coding Agents
Meta trains or fine-tunes coding agents using private source-code repositories. These agents may later be used to answer coding questions, generate co...
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...
How do you handle an LLM agents interview?
You have an interview on your agenda titled “Agents Interview.” Explain how you would approach this interview if it is about designing and evaluating ...
Design Place Recommendation System
Design a machine learning system for a maps or local-discovery product that recommends places a user may want to visit. The system should provide pers...
Design a Single-Domain Chatbot
Design a chatbot system for a single enterprise customer and a single business domain. For example, the chatbot may answer support questions for one p...
Design a prompt playground
Design a prompt playground for working with large language models. Users should be able to write prompts, run them against one or more models, compare...
Design a high-concurrency LLM inference service
You are designing an LLM inference platform that serves interactive user requests (chat/completions) on GPUs. Goals - Support high concurrency with pr...
Design a RAG Ranking Pipeline
Design a retrieval-augmented generation pipeline for Microsoft Teams that helps an AI agent answer a user query by finding the most relevant applicati...
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 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 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 RAG system with evaluation
Scenario You are asked to design a Retrieval-Augmented Generation (RAG) system that answers user questions using a private corpus (e.g., internal docs...
Design pipeline using classification and embedding services
You are given two black-box ML services: 1. Classification Service - Input: One or more text documents. - Output: A label for each document (e.g...