Introduction to Machine Learning Interviews Book

Abstraction: Chip Huyen's guide to ML interview preparation and hiring

Key points:

• Book has two parts: (1) overview of ML interview process and role types; (2) 200+ knowledge questions with difficulty ratings
• Author has interviewed at and received offers from Google, NVIDIA, Snap, Netflix, Primer AI, and Snorkel AI
• Covers what interviewers look for and how to signal the right skills for different ML roles
• Companion course CS 329S at Stanford covers ML systems design questions
• Includes 30 open-ended ML systems design questions that nearly all companies ask and candidates find hardest
• Source code available on GitHub; Discord community for discussing answers

Connections: Chip Huyen · Google · Nvidia · Machine Learning · ML Systems Design

Source: https://huyenchip.com/ml-interviews-book/