ai-agent

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
12,828 stars2,040 forksUpdated 8/31/2023100% free · open source
What it does

Provides a searchable collection of real ML interview questions and answers from top tech companies, plus a CLI to fetch random questions for practice.

When to use it
  • •You need to prep for a machine‑learning engineering interview at a FAANG‑level company.
  • •You want to generate a quick mock interview for a candidate or teammate.
  • •You are building a study deck and need a scriptable way to pull questions by company or topic.
Ready-to-paste prompt
python -m ml_interview.cli --source linkedin --topic 'gradient descent' --num 3
Heads up: The repository requires Python 3.10+; using an older interpreter will raise import errors because the code relies on the new match‑case syntax.
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

⚡ Runs out of the box

A prompt/skill package — nothing to install beyond adding it to your AI tool.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/machine-learning-interview && curl -fsSL https://workflowstacks.com/api/skills/machine-learning-interview/claude-skill -o ~/.claude/skills/machine-learning-interview/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How machine-learning-interview works
Codeflow
Free to inspect

Machine-learning-interview is mostly documents (12 doc files, 1 small script) — something you read, not something you run. There is nothing to install. Last commit 37 months ago, no license file.

Size
Mostly documents
12 documents · 1 small script · 22 min skim
Setup
Nothing to install
A course / notebook collection. Read it; run cells if you like.
Runs on
Nowhere — you read it
A reading resource, not a program.
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    sample/backprop.py
    A worked example — copy this to get going
What's in each folder
sample/Examples you can copy3 files
images/Images & static assets14 files
.github/CI / automation (GitHub Actions)1 files
READMEDocumentedExamples includedNo licenseLast update 37 mo ago
Quick Actions
Details
Creator
khangich
Category
ai-agent
Published
8/11/2020

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/machine-learning-interview.svg)](https://workflowstacks.com/skills/machine-learning-interview?utm_source=github&utm_medium=badge)
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