Machine Learning Engineer ML System Design Interview Questions
Practice 194 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 training for multimodal embedding model
This question evaluates proficiency in end-to-end multimodal embedding system design, including model architecture, supervision and loss strategies, e...
Design an ads ranking system with calibration
This question evaluates a candidate's ability to design scalable, low-latency online machine learning systems for ads ranking, covering competencies i...
Design a real-time game recommendation system
Design a real-time game recommendation system System Design: Real‑Time Game Recommendation System (Architecture Focus) You are designing a real‑time r...
Design image and multimodal generation systems
System Design: Image Generation and Multimodal Generation Part 1 — End-to-End Image Generation System Design an end-to-end image generation system. Co...
Design an item category prediction system
This question evaluates a candidate's ability to design end-to-end machine learning systems for multi-class or hierarchical item categorization, encom...
Discuss ML infrastructure fundamentals
Discuss ML infrastructure fundamentals ML System Design: Infra Stack, Feature Store, Reproducibility, and Monitoring Context: You are designing and op...
Design LLM search handling long token inputs
Design an LLM-powered search and question-answering system over a large corpus of documents such as internal wikis, PDFs, logs, contracts, and web pag...
Debug online worse than offline model performance
This question evaluates the ability to diagnose discrepancies between offline and online model performance by reasoning about data distributions, feat...
Design Personalized Product Feeds
Design an ML system for personalized product feeds in an e-commerce application. For each user request, the system should return a ranked feed of prod...
Design a Recommendation Ranking System
This question evaluates expertise in designing scalable, low-latency machine learning recommendation and ranking systems, covering multi-stage ranking...
Design Personalized Promotion Recommendations
This question evaluates a candidate's ability to design end-to-end machine learning recommendation systems, covering competencies such as data collect...
Design a Jira+Confluence RAG assistant
You are asked to design a simple Retrieval-Augmented Generation (RAG) system that answers employee questions using content from two internal products:...
ML System Design: Thumbnail Selection for a Streaming Catalog
ML System Design: Thumbnail Selection for a Streaming Catalog You work at a video streaming service. For each title in the catalog (movie or show), th...
Design a product-feed recommendation system
This question evaluates a candidate's competency in end-to-end machine learning system design for recommendation engines within the ML System Design d...
Design an ML keyword recommendation pipeline
Design an ML keyword recommendation pipeline ML System Design: Typed Search Keyword Recommendations for an App Marketplace Goal Design an end-to-end M...
Design model deployment, monitoring, and low-latency inference
You have trained a fraud detection model and need to productionize it. Part A: Deployment - How would you deploy an ML model to production? - What art...
Design trending livestream discovery
Design a system for a live-commerce platform that surfaces trending livestreams to users. Assume an ML model for scoring trendiness or relevance alrea...
Design a baseline loan recommendation system
System Design: Baseline Loan Recommendation System Context Design a baseline system that recommends loan offers to users on a digital platform. The sy...
Implement KV cache for inference
Design Task: Key–Value Cache for Transformer Decoder Inference Context You are building an autoregressive inference engine for a Transformer decoder-o...
Design an Enterprise Tool-Using Agent
Design an enterprise LLM agent that can use external tools to complete multi-step business tasks. Assume the agent may call tools such as document ret...