Machine Learning Engineer ML System Design Interview Questions
Practice 179 real ML System Design interview questions for Machine Learning Engineer roles. From companies including OpenAI, Meta, Amazon, Snapchat, Google.
"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 an OOD detection system
Prompt You are building a product that uses an ML classifier in production (e.g., for routing, ranking, safety, fraud, or categorization). Over time, ...
Design an ads ranking system with calibration
ML System Design: Ads Ranking (e-commerce) Design an online ads ranking (ad “re-ranking”) system for an e-commerce app. The system receives a request ...
Design quality checks for spreadsheet LLM data
You are given a dataset for a spreadsheet assistant. Each example contains: 1. a natural-language prompt, 2. an Excel-style table or worksheet represe...
Design video captioning under compute limits
Scenario You work on a multimodal team at a large short-video platform. The team has a multimodal large model that takes a video (sampled frames, with...
Design a RAG system end to end
Design a Retrieval‑Augmented Generation (RAG) System for Enterprise Text Context You are building a production RAG system that answers employee questi...
Design a scalable video search system
Design a Text-to-Video and Video-to-Video Search System Context You are tasked with designing an end-to-end multimodal retrieval system that supports ...
Design a production RAG system
Question Design a production retrieval-augmented generation (RAG) system for enterprise document QA. Walk through the end-to-end architecture and just...
Design a video recommendation system
Scenario Design an end-to-end video recommendation system for a short-video or spotlight-style feed. Requirements 1. Product goals - Personalized r...
Design a real-time recommendation system
You are asked to design a real-time recommendation system for a large-scale consumer product (for example, recommending items or content to users in a...
Design a grounded voice assistant
You are designing a voice assistant response system similar to Siri. The assistant uses a large language model together with external tools or APIs to...
Design an AWS fine-tuning platform for LLMs
Scenario You need to build a system that lets customers fine-tune their own large language model (LLM) on AWS. Task Design a managed platform where us...
Design a computer-use agent end-to-end
Scenario You are designing a computer-use agent that can complete user tasks on a standard desktop environment by observing the screen and issuing act...
Discuss ML infrastructure fundamentals
ML System Design: Infra Stack, Feature Store, Reproducibility, and Monitoring Context: You are designing and operating a machine learning platform tha...
Explain parallelism and collectives in training
Parallelism strategies and communication in large-scale training You are designing a distributed training setup for very large neural networks that ca...
Design real-time grid ETA for drivers
Real-Time Grid-ETA System Design You are tasked with designing a real-time system that maintains the remaining ETA for every driver currently located ...
Design a hierarchical multi-label classifier
System Design: Hierarchical Multi-Label Classifier for Noisy Taxonomy Context You have a catalog of items with hierarchical tags (e.g., Category → Sub...
Design a harmful video content moderation system
Question Design an end-to-end system to detect and moderate harmful videos on a large platform. Requirements - Detect multiple policy categories (viol...
Design a video VLM end-to-end
Prompt: Design a video vision-language model (VLM) from scratch You are asked to design an end-to-end system to build a video vision-language model th...
Design a DNA-sequence optimization loop
You are building an ML-driven platform to optimize DNA sequences (e.g., a promoter/enhancer/codon-optimized gene) for a target lab-measured property (...
Design a Real-Time Feature Store
Design a real-time feature store for machine learning systems used in ads or recommendation ranking. Your design should support both: - Online inferen...