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 Store Recommendation System and Explain ML Trade-offs
Design a store recommendation system and discuss ML domain trade-offs, including a decision-tree-style refund model. `hint Hint 1 Start by stating ass...
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 Safe Distribution and Activation of Model Weights
Design Safe Distribution and Activation of Model Weights The source names model-weight deployment as the system-design topic but does not give a scale...
Design a Personalized Content Recommendation Engine
This question evaluates a candidate's ability to design a large-scale personalized recommendation system, covering problem framing, candidate retrieva...
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 Text-to-Video Generation Service
This question evaluates understanding of ML system design, distributed scheduling, durable asynchronous job pipelines, GPU resource orchestration, and...
Design a GPU inference API
Design a scalable, GPU-backed inference API that serves multiple ML models — including large autoregressive models such as LLMs — to internal product ...
Design an Enterprise Research Assistant with Verifiable Citations
Design an Enterprise Research Assistant with Verifiable Citations Design an enterprise research system that accepts complex questions, retrieves autho...
Design GenAI Fine-Tuning and Agent Tradeoffs
This question evaluates competency in generative AI fine-tuning techniques and production agent architecture, including trade-offs among full-precisio...
Design Chatbot Personalization Memory
This question evaluates competency in designing per-user chatbot memory systems, including data modeling for durable memories, retrieval-augmented gen...
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 Content Moderation Platform
This question evaluates a candidate's ability to design scalable, ML-driven content moderation platforms, assessing competencies in system architectur...
Design an OpenAI chatbot in two hours
Design and Build a Minimal Conversational Chatbot (2-Hour Coding Exercise) You are given an OpenAI API key and two hours. Design and implement a minim...
Design sequential reveal classification and policy
FashionMNIST: Row-wise Reveal Evaluation, Reward-Optimal Masking, Augmentation, and Early Exit Context You have a trained CNN classifier for FashionMN...
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...
Design a batch inference API
Design an Asynchronous (POST-and-Poll) Inference Service API Design an asynchronous inference service for serving model predictions. A client submits ...
Evaluate Subjective and Nondeterministic Agent Outputs
Evaluate Subjective and Nondeterministic Agent Outputs Design an evaluation program for an AI agent whose answers may be valid in several different fo...
Design a game recommendation modeling approach
This question evaluates proficiency in end-to-end machine learning system design for recommender systems, including product goal and target definition...
How do you handle an LLM agents interview?
This question evaluates an engineer's competency in designing and evaluating LLM-powered agents, covering system architecture, tool and API integratio...
Design a Real-Time AI Voice System
This question evaluates system-level engineering skills for real-time conversational AI, covering audio ingestion, speech recognition, dialogue orches...