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 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 email ranking and summarization in Outlook
This question evaluates proficiency in designing end-to-end machine learning systems for personalized email ranking and abstractive summarization, enc...
Design App Store search
Design the search system for a mobile app marketplace similar to an app store. Users enter short queries such as 'photo editor', 'budget tracker', or ...
Design a chunking strategy for RAG
You are building a Retrieval-Augmented Generation (RAG) system that uses an LLM plus a vector database. Before creating embeddings and indexing docume...
Design recommendation and weapon-ad detection systems
This question evaluates proficiency in end-to-end ML system design, covering scalable recommendation systems and safety-focused ad classification with...
Design a pin search engine
Design a Pinterest-style pin search engine with hybrid candidate generation, dual-encoder retrieval, multimodal ranking, pairwise/listwise losses, off...
Design logo infringement detection system
This question evaluates a candidate's competency in ML system design for visual search, covering image representation and embeddings, metric learning,...
Design LLM-enhanced recommendation solutions
Design LLM-enhanced recommendation solutions System Design: Incorporating Large Language Models (LLMs) into a Large-Scale Recommendation System Contex...
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 a newsfeed dislike model
This question evaluates a candidate's ability to design and operationalize a machine learning model that predicts the probability of a user disliking ...
Infer user intent from typing in real time
This question evaluates machine learning system design competency in streaming, low-latency intent inference from typing and UI context, covering priv...
Design a natural-language AEP Q&A assistant
Design a natural-language AEP Q&A assistant System Design: Natural-Language Assistant for Adobe Experience Platform (AEP) Goal Design a natural-langua...
Design query generation to maximize CTR
Design query generation to maximize CTR Design an end-to-end query-generation system that maximizes click-through rate (CTR) for a large-scale search/...
Design comment ranking for a news feed
This question evaluates a candidate's ability to design an ML-powered comment-ranking system, testing competencies in personalization, engagement and ...