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 Product Tagging Pipeline
Design an applied machine learning pipeline that automatically assigns standardized tags to products and seller content in a short-video commerce plat...
Predict future time-series values
End-to-End Time-Series Forecasting (PyTorch) Context You are given one or more regularly sampled numeric time series and optional exogenous covariates...
Design a Production ML Serving System
You are given an existing ML-powered production system that serves online user requests. The interview focuses not on changing the model architecture ...
Design an unsafe content detection system
Scenario You are building a system that detects and mitigates unsafe user-generated content (UGC) on a large platform. Unsafe content can include: hat...
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...
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...
Design a chatbot fallback for unknown questions
Scenario You run a ChatGPT-like assistant. Users sometimes ask questions the model cannot answer reliably (unknown/uncertain/needs up-to-date facts). ...
Design a Location Recommendation System
Design a machine learning system that recommends places to a user in a maps or local-discovery product. A user opens the app and expects relevant near...
Design training for multimodal embedding model
You need to train a multimodal LLM-based system that produces multimodal embeddings (e.g., a shared vector space where text, images, and optionally au...
Design an ads ranking ML system
Prompt You are designing an ads ranking system for a large consumer app (feed/search entry point). For each request, the system receives a user contex...
Design multi-GPU matrix multiplication
Multi-GPU MatMul (2 GPUs): Design and Implementation You are given two GPUs connected via NVLink or PCIe. You must compute C = A × B where: - A is sha...
Design a scalable MoE pretraining pipeline
Design a Large-Scale MoE Pretraining Pipeline (Bilingual LLM, 1T Tokens, 256×A100-80GB) Context You are designing a pretraining pipeline for a decoder...
Optimize Model Serving Under 200ms
A data science team gives you a trained model and asks you to deploy it as an online inference service. The requirement is that a single prediction mu...
Design Large-Scale Inference Serving
Design a production inference serving system for a machine learning model used by 100 million daily active users. Your answer should cover: traffic as...
Design an ML search system
Design an ML‑Powered Enterprise Document Search System Context You are designing a multi‑tenant enterprise search system that indexes documents from m...
Describe ML projects and tech choices
ML Project Overview and Deep Dive (HR Screen) Context You are interviewing for a Machine Learning Engineer role. Provide a concise, structured overvie...
Design a news feed ranking system
Design a personalized news feed recommendation system. Requirements: - Low latency serving (real-time feed generation). - Personalization using user b...
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...
Select high-quality math documents from crawls
Scenario You have a web crawler that collects raw HTML/PDF documents. You want to build a pipeline that identifies high-quality math documents suitabl...
Design a Short-Video Recommendation System
Design an end-to-end recommendation system for a short-video feed product. The system serves a large user base and must choose and rank videos for eac...