ML Companies Tier List and Interview Questions

This repository provides a curated list of top Machine Learning companies, subjectively ranked into tiers, along with over 100 ML interview questions sourced from neuraprep.com. It aims to assist ML professionals and job seekers in understanding the competitive landscape and preparing for technical interviews.

How It Works

This repository serves a dual purpose: it offers a curated, subjectively ranked tier list of prominent companies actively hiring in Machine Learning, and it compiles over 100 interview questions designed to test candidates' understanding of core ML concepts. The company ranking is based on perceived prestige, culture, compensation, and program strength, with a significant financial benchmark: companies must offer at least $300k/year average total compensation for ML roles, and Tiers 1 and 2 are expected to exceed $500k/year. This structure aims to provide job seekers with insights into the competitive ML job market and prepare them for rigorous technical evaluations.

Quick Start & Requirements

No installation or specific requirements are detailed in the provided README. It appears to be a static resource.

Highlighted Details

• Company Tiers: Features subjective rankings of companies like Meta, OpenAI, Anthropic, Nvidia (Tier 1), Citadel, Netflix, Google, TwoSigma (Tier 2), and others, reflecting perceived desirability and compensation levels.
• Compensation Benchmark: Companies are filtered based on a minimum average total compensation of $300k/year for ML roles, with top-tier companies requiring over $500k/year.
• Interview Question Breadth: The collection of over 100 questions spans fundamental ML theory (e.g., bias-variance, regularization), statistical concepts (e.g., distributions, hypothesis testing), deep learning architectures (e.g., CNNs, Transformers, VAEs), algorithm specifics (e.g., gradient descent, PCA, ensemble methods), and practical system design scenarios. Questions are often tagged with potential company origins or contexts.

Maintenance & Community

Suggestions for new job postings or changes can be submitted via email to team@neuraprep.com.

Licensing & Compatibility

No license information is provided in the README.

Limitations & Caveats

The company ranking is explicitly stated as a "very rough ranking based on highly subjective opinions." The extensive list of interview questions may not be exhaustive or representative of all current ML interview practices.