Software Engineer ML System Design Interview Questions
Practice 97 real ML System Design interview questions for Software Engineer roles. From companies including Anthropic, OpenAI, NVIDIA, Amazon, 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 Memo Q&A Agent for a Large Law Firm
Design a Memo Q&A Agent for a Large Law Firm Design an AI system that lets attorneys at a large ("big law") firm ask natural-language questions and ge...
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-Based Agent System
Design a Retrieval-Augmented Generation (RAG) system that backs an LLM-based agent. You should be able to reason about the full lifecycle — from inges...
Design Premium Product Recommendations
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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 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 Text-to-Video Generation Service
Design a large-scale text-to-video generation service similar to a modern generative video product (e.g. a Sora-style system). A user submits a text p...
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...
Design a PDF-to-Markdown Inference API
Problem Statement Design an inference service that converts PDF files into Markdown. Assume the following building blocks already exist and you do not...
Design Chatbot Personalization Memory
Design a text-only personalization and memory system for an AI chatbot. The chatbot should use a user's previous conversations, stated preferences, an...
Design RAG Retrieval for Data Assets
Design the retrieval component for an internal AI coding/analytics assistant. When a user asks a data-related question, the assistant must identify th...
Design an LLM Agent System That Automatically Resolves Jira Tickets and Opens Pull Requests
Design an LLM Agent System That Automatically Resolves Jira Tickets and Opens Pull Requests You are asked to design an autonomous LLM-agent system tha...
Design Hebbia Chat for SEC Filings
Design Hebbia Chat, a chat interface that lets users ask questions about SEC filings and get grounded, cited answers. The system should be fast, durab...
Design GenAI Fine-Tuning and Agent Tradeoffs
You are interviewing for a software engineering role involving generative AI infrastructure and quantitative applications. The interviewer wants to un...
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 an Agentic Ticket Support System
Design an AI-powered ticket support system. The system must integrate with two existing external systems: 1. Ticket system: Displays all support ticke...
Design a Credit Scoring Platform
Design a credit-scoring platform for 300 million users. The platform can obtain user credit data from external credit bureaus. It should ingest bureau...

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...
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...
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 ...