#143 · Primary category： Education & Research
AIMLInterviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Project last updated：08/27/26
GitHub Stars
9.5K
Forks
1.7K
Contributors
12
License
MIT
Why we included this project
The author built this guide from his own interview preparation notes, and it shows: he received offers from Meta, Google, Amazon, Apple, and Roku in 2020, then went through the process again in 2025 for AI tech lead roles at Amazon and Apple. The material is organized into the typical interview modules in a sensible order, starting with general coding and data structures, then machine learning fundamentals, deep learning, and system design for AI systems. Everything is written up in chapters and Jupyter notebooks, so you can work through one section at a time. Because interviewing is a practiced skill rather than something you learn by reading, the repo works best as a structured checklist to pair with hands-on problem solving.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
prompts.chat
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
JavaGuide
Java Interview & Backend General Interview Guide, covering computer fundamentals, databases, distributed systems, high concurrency, system design, and AI application development.
system-prompts-and-models-of-ai-tools
A curated collection of system prompts, internal tools, and AI models from popular AI assistants and coding agents.
30-seconds-of-code
Coding articles to level up your development skills
generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI