Verified project record

khangich/machine-learning-interview

A curated study plan for machine learning engineering interviews that consolidates real interview questions from large tech companies with ML system design examples and linked study materials. The repository covers coding practice, SQL resources, and system design topics to streamline preparation.

Project overview

This repository stands out by consolidating actual interview questions from FAANG and other major tech companies into a single study resource, directly addressing the difficulty of finding curated, real-world preparation materials.

Project type: AI Coding
Use cases: Learning & Education
Deployment: Refer to project documentation
License: License pending

Best for

Developers and researchers preparing for machine learning engineering interviews at FAANG and other large tech companies
Self-directed learners who want a consolidated study plan built from real interview questions

Key capabilities

A curated minimum viable study plan covering actual interview questions from FAANG and other large tech companies.
Machine learning system design examples covering recommendation systems, feed ranking, ad click prediction, and delivery time estimation.
Curated LeetCode questions organized by category alongside SQL resources for interview preparation.

Limitations and risks

The study plan is focused primarily on interviews at large tech companies like FAANG and may not cover preparation needs for other types of employers.

Getting started

Open and read the README.md file to access the full study plan, system design examples, and linked resources.

Evidence and sources

GitHub project description: Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
README: This repo is written based on REAL interview questions from big companies and the study materials are based on legit experts i.e Andrew Ng, Yoshua Bengio etc.
README: Oct 10th: Machine Learning System Design course became the [number 1 ML course](https://www.linkedin.com/posts/activity-6853724396188790784-tWxj) on educative.
README: D, NVIDIA DS > I have been using your github repo to prep for my interviews and got an offer with NVIDIA with their data science team. Thanks again for your help!
README: | 1. [Youtube Recommendation](https://rebrand.ly/mldesign) |<a href="https://rebrand.ly/mldesign"> <img src="images/uc3.png" alt="Youtube Recommendation Design" width="100" height…

Reviewed at: 2026-07-18T00:27:23Z