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 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 ranking system pipeline
Answer the following ML system design questions: - Describe the machine learning system you know best. Walk through the problem definition, data sourc...
Build an end-to-end ML pipeline
ML System Design: Shipment Delay Risk Scoring From a Single CSV You are given a CSV of shipment events with the following columns: - order_id (string)...
Design a newsfeed dislike model
Design a machine learning system for a social newsfeed that predicts the probability that a user will dislike a post. Assume there is already an exist...
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:...
Approach an ambiguous business problem
In a science-application interview, you are given a business problem that is intentionally vague. The interviewer wants to see how you handle ambiguit...
Design an enterprise RAG agent system
Design an enterprise AI assistant for internal company knowledge. The system should answer employee questions over documents such as policies, product...
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 LLM search handling long token inputs
You are asked to design an LLM-powered search system that lets users query a large corpus of documents (e.g., internal wikis, PDFs, logs, and web page...
Design real-time top-K POI retrieval on maps
Real-Time Top-K POIs in Viewport: System Design Context Design a real-time system for a mobile map that continuously shows the top-K points of interes...
Design nearby place recommendations
Real‑Time Nearby Places Recommendation System Context Design a mobile feature that recommends nearby places (e.g., restaurants, shops, attractions) to...
Design LLM-enhanced recommendation solutions
System Design: Incorporating Large Language Models (LLMs) into a Large-Scale Recommendation System Context You are designing enhancements for a high-t...
Calibrate LLM output to match Word formatting
Scenario You’re building an LLM-powered feature in a word processor (e.g., Microsoft Word) that generates content users can insert directly into a doc...
Infer user intent from typing in real time
Scenario You’re building an AI feature that observes a user’s typing stream in an editor/search box and predicts the user’s intent in real time. This ...
Design a streaming embedding-based classifier
You are given a continuously arriving stream of text data for a classification task. Design an end-to-end machine learning system that: 1. processes r...
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...
Debug a GPT training pipeline
Fix three bugs in a minimal GPT to meet a training-loss target You are given a Colab notebook with a minimal GPT-style language model implemented in P...
Design recommendation and weapon-ad detection systems
You are asked to design two end-to-end ML systems. 1) Personalized recommendation system Design a system that recommends items (e.g., videos/products/...
Design RL-based spending limit policy
RL System Design: Per‑User Spending Limits You are designing a reinforcement learning (RL) system to set per-user spending limits in a payments/risk c...
Design a short-video recommender for short-term interest
Scenario You are designing a short-video recommendation system (similar to a swipe/feed product). The system must personalize the feed for each user a...