Software Engineer ML System Design Interview Questions
Practice 117 real ML System Design interview questions for Software Engineer roles. From companies including Anthropic, OpenAI, Amazon, NVIDIA, Meta.
"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 Scalable and Safe Agentic System
Design a Scalable and Safe Agentic System Design a service that accepts a user goal, lets an AI agent plan and invoke approved tools, and returns a re...
Design Retrieval-Augmented Answers from a Document Vault
Design a service that accepts a user's prompt, searches a large document vault, and returns a grounded answer with citations to relevant source passag...
Design a 200-Terabyte Media Migration and Training Input Pipeline
Design a 200-Terabyte Media Migration and Training Input Pipeline Design a one-time transfer of 200 TB of images and videos from an on-premises enviro...
Design an Evaluation Platform for a Design-Editing Agent
Design an Evaluation Platform for a Design-Editing Agent A design application includes an agent that edits a user's document from natural-language ins...
Design an LLM Inference Serving System
Design an LLM Inference Serving System Design a production system that serves inference requests for one or more large language models. Cover the requ...
Design a Low-Latency GPU Inference Service
Design a Low-Latency GPU Inference Service Design an online inference service backed by GPU servers. Explain how dynamic batching, request deadlines, ...
Design a Memo Q&A Agent for a Large Law Firm
This question evaluates ML system design skills, specifically retrieval-augmented generation (RAG) and LLM-grounded document retrieval at production s...
Design a Platform for Training and Serving ML Models
Design an internal ML platform that lets data scientists train models, register reproducible versions, and deploy them for both online and batch infer...
Design a Grounded LLM Assistant for Case Preparation
Design a Grounded LLM Assistant for Case Preparation Design an LLM-based assistant that helps a user prepare a draft response from documents related t...
Design a Text-to-Video Generation System
Design a Sora-like text-to-video generation platform. Users submit a text prompt, optional generation settings (duration, resolution, fps, seed, model...
Design a RAG Q&A Agent over Law Firm Legal Memos
This question evaluates a candidate's ability to design a retrieval-augmented generation system, covering ingestion, chunking, indexing, retrieval, an...
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 far higher when...
Design an LLM Agent System That Automatically Resolves Jira Tickets and Opens Pull Requests
This ML system design question evaluates the ability to architect an autonomous LLM-agent pipeline spanning retrieval-augmented generation, tool integ...
Design an LLM API pipeline
You are asked to build a small application feature that calls a hosted large language model (LLM) API to solve a user task. The interviewer is not int...
Design a Video Generation Service with GPU Fleet Management
Design a Video Generation Service with GPU Fleet Management Design a service that accepts text or media prompts and asynchronously generates videos. F...
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 an E-Commerce Recommendation System from Browsing History
Design an E-Commerce Recommendation System from Browsing History Design a large-scale recommendation system that uses users' browsing histories to ran...
Design a Text-to-Video Generation Platform (Sora-style)
This ML system design question evaluates a candidate's ability to architect the infrastructure around a large generative video model, including asynch...
Design Model Weight Distribution
Design a system that distributes large machine learning model weight files to a fleet of GPU inference workers. A new model version is published as on...
Review and Debug an AI Chatbot
Review and Debug an AI Chatbot Review the design of an AI chatbot and propose improvements. Then explain how you would investigate reports of incorrec...