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 anomaly detection and response platform
Design an AI-Driven OS Snapshot Anomaly Detection Service Context You are designing a cloud service that ingests operating system (OS) snapshots from ...
Build a Recommendation System and Conversational Interface from Scratch
Build a Recommendation System and Conversational Interface from Scratch Design an initial recommendation system, then extend it with a chatbot that ca...
Design file-embedding storage system
Design file-embedding storage system System Design: Multimodal Embedding Service for User Uploads Context You are designing a backend service that, fo...
Design an end-to-end recommendation system
Design an end-to-end recommendation system System Design Prompt: End-to-End Movie Recommendation System You are tasked with designing an end-to-end mo...
Describe model-to-GPU execution pipeline
Describe model-to-GPU execution pipeline From Model Definition to GPU Execution: Pipeline and Optimizations You are asked to explain the end-to-end pa...
Design place-of-interest ML system
Design place-of-interest ML system Design a POI (Places of Interest) Recommendation System Context Design a global POI recommender for a mobile maps/f...
Design prompts for JSON-only LLM responses
Design an LLM request that returns strict JSON only Context You are designing a backend call to an LLM for a technical screen (System Design & Enginee...
Design a personalized recommendation system
System Design: Personalized Recommendations for a Consumer App Context Assume you are building the home-feed recommendations for a large consumer app ...
Optimize attention for long sequences
Optimize attention for long sequences System Design: Efficient Attention for Long Sequences Context You are designing or optimizing sequence models th...
Design an ML inference orchestration platform
System Design: ML Inference Orchestration Platform Context You are designing a multi-tenant platform that exposes several ML models as independent ser...
Design a recommendation system
Design a recommendation system Design a User–Item Recommendation System Context You are asked to design an end-to-end recommendation service that sugg...
Deep dive a resume project
Deep dive a resume project End-to-End ML Project Walkthrough (System Design Focus) Pick one ML project from your experience and walk through it end-to...
Integrate Chroma and design semantic search API
System Design: Add Semantic Search to an Existing CRUD Service Using Chroma Context You own a document CRUD service (create/read/update/delete) that s...
Design a GPU inference API
System Design: GPU-Backed Inference Platform and API You are designing a production inference platform to serve deep learning models (vision, ranking,...
Design a dynamic rental pricing system
System Design: ML-Driven Nightly Pricing for Short-Term Rentals Context Design a production ML system that recommends (and optionally auto-sets) night...
Design NL-to-Formula assistant for Airtable
Question Design an ML-powered assistant for a no-code table product like Airtable that converts a user's natural-language request into a formula expre...
Design a secure ML data platform
System Design: Secure, Ethical, Multi‑Tenant ML Data and Inference Platform Context Design a cloud-based ML platform used by multiple internal product...