Machine-Learning-Interview

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machine-learning-interview is a Research & Education tool that provides comprehensive resources for machine learning interview preparation. It includes study guides, system design examples, and practice questions from top tech companies.

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Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is machine-learning-interview?

machine-learning-interview is a GitHub repository offering an extensive collection of resources for individuals preparing for machine learning interviews. It features a minimum viable study plan, covering topics from LeetCode questions to advanced ML system design. The repository includes real interview experiences from FAANG, Snapchat, and LinkedIn, along with detailed guides on ML system design use cases like YouTube recommendations and ad click prediction. It also provides quizzes to test ML knowledge and links to a Machine Learning System Design book on Amazon, making it a valuable resource for job seekers in the ML field.

Best used for

Ideal for job seekers and students who need to prepare for machine learning engineering and data science interviews, understand complex ML system design, and practice coding challenges. Especially valuable for those targeting roles at FAANG and other leading tech companies.

Common actions

prepare for interviews

study machine learning

practice coding

learn system design

collaborationautomated workflowworkflowsdeepfakelow-code/no-code"AI Agents"github copilotopen-sourceface swapping

Capabilities

Key features

ML interview study plan
System design examples
LeetCode questions
Interview experiences
ML knowledge quizzes

Target Audience

job seekerstudent

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What kind of companies are the interview resources based on?

The interview resources are based on real questions from major tech companies including FAANG (Facebook, Amazon, Apple, Google), Microsoft, Snapchat, LinkedIn, Coupang, and Stitchfix. This ensures the content is relevant to top-tier industry standards.

Does the repository include coding practice questions?

Yes, the repository includes LeetCode questions categorized for Machine Learning Engineers, along with advice on how to approach them. It also covers SQL and programming concepts relevant to ML interviews.

Are there resources for Machine Learning System Design?

Absolutely. The repository provides an extensive section on ML system design, including common use cases like YouTube recommendations, LinkedIn feed ranking, and ad click prediction. It also links to a dedicated ML system design course and book.

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