chiphuyen/machine-learning-systems-design

This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are organized to help you easily find relevant case studies based on industry or specific ML use cases.

Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

If you want to become good at AI engineering & system design, join this newsletter 👇

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

Machine Learning Engineering Open Book

Notes of the book System Desgin Interview - An Insider's Guide

My learning notes for ML SYS.