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 a Recommendation Ranking System
You are interviewing for a staff-level machine learning role focused on recommendation systems. Design an online recommendation ranking system for a c...
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 an LLM math-solving chain
Design an LLM-Based Arithmetic Solver Context You are building an LLM-driven service that answers arithmetic questions ranging from simple expressions...
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 LinkedIn Learning course recommendations
Design a mini ML system to recommend LinkedIn Learning courses to a user. Product goal: - Recommend courses that help the user succeed in their job se...
Improve Trust in a RAG System
You own an enterprise retrieval-augmented generation system used for high-stakes document question answering, such as mortgage underwriting, legal rev...
Design notification and feed recommenders
Design two recommendation systems for a large visual-discovery platform: 1. Notification recommendation system: Decide whether to send a notification ...
Architect an asynchronous RL post-training system
System Design: Asynchronous RLHF/RLAIF Post-Training for a Production Chat LLM Context You operate a chat LLM that already serves real user traffic. Y...
Explain Transformers and deploy an LLM safely
Answer the following LLM-focused questions. 1) Transformer basics - What problem does the Transformer architecture solve compared with RNNs? - Explain...
Design a real-time home feed ranker
Scenario Design a real-time home feed (e.g., social or content platform) that is responsive to user engagement. Users open the app and see a ranked li...
Design a cold-start video recommender
Design a cold-start recommendation pipeline for a short-video platform. The system must work for both new users with little or no interaction history ...
Design Self-Dealing Detection for Marketplaces
Design a machine learning system to detect self-dealing or fake transactions in an e-commerce marketplace. In this setting, a seller may use related b...
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 ML job scheduler
Design a system that accepts user-submitted machine learning jobs and schedules them across multiple compute clusters containing heterogeneous CPU and...
Debug online worse than offline model performance
Production ML: online performance worse than offline You launch an ML model. Offline evaluation (validation/test) looked good, but after deployment th...
Explain ML model fundamentals
Comprehensive ML Concepts: Logistic Regression, Naive Bayes, Transformers, Multi-class Metrics, Bagging vs Boosting Context You are interviewing for a...
Optimize image filters on device
You are shipping an image-filter feature that must run entirely on a mobile device. Users expect preview latency below 30 ms on common phones, memory ...
Design an ML-powered search system
Scenario Design an end-to-end search system for a consumer product (e.g., an e-commerce marketplace or content platform) where users type queries and ...
Design an image/video near-duplicate detection system
Question Design a system to detect near-duplicate images/videos (e.g., reuploads, minor edits, different encodes) at large scale. Requirements - Suppo...
Design weapon-selling ad detection from posts
ML System Design: Detect weapon-selling ads from user posts You work on a platform with user-generated content (UGC): posts may include text, images, ...