Machine-Learning-Interviews
Guide for Machine Learning/AI technical interviews
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Machine-Learning-Interviews is aimed at candidates preparing for technical ML/AI interviews, focusing on deep topics including LLM internals and GenAI system design. Here are critical facts for decision making about its适
Good fit when
- - You are targeting roles such as Machine Learning Engineer or Applied Scientist positions at major tech companies like FAANG.
- - You need to prepare for updates in ML/AI interviews covering advanced topics, including LLMs and multimodal AI.
Avoid when
- - If your focus is on roles such as Data Science or ML research scientist where the structure of interviews differs significantly from Machine Learning Engineer positions.
- - For candidates who do not aim to work at big tech companies but rather in startups or smaller organizations, as this tool emphasizes preparation for FAANG and similar entities.
- Pricing:
- freemium - The repository itself is free under the MIT license but offers supplementary 1:1 AI/ML coaching services at an additional cost, which is outlined on https://aimlinterviews.io
- Requirements:
- - Python and Jupyter Notebook knowledge for interacting with the material.; - Basic to advanced understanding of ML concepts to grasp the depth covered in the repository.
Observed Jul 9, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Active (17d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 9, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/alirezadir/Machine-Learning-InterviewsHow it fits your stack(11)
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Evidence and technical details
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Overview
Repository aimed at preparing candidates for ML/AI engineering interviews with insights and topics relevant to roles at major tech companies.
Capability facts
- Languages
- jupyter notebook
Source: github.language · Sep 20, 2026
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Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
claude mcp add aimlinterviews -- npx -y aimlinterviews-mcpSource link
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README
AIMLInterviews 1:1 Coaching & Mock Interviews I now offer 1:1 AI/ML interview coaching & mock interviews for AI/ML Engineers, Applied AI Scientists, Research Engineers, Research Scientists, AI Strategists, Engineering Managers, and senior AI leaders. Topics include technical inte...
For agents
This page has a .md twin and JSON over the API.