YC Tech Talks - Machine Learning

Dive into the world of Machine Learning startups with this 31-minute Y Combinator Tech Talk. Gain insights from two founders delivering lightning tech talks on stacking recommendation models and creating fast 3D Reinforcement Learning simulators. Explore the daily challenges ML founders face and discover innovative solutions. Listen to quick pitches from three additional startups in the ML space, covering topics like event-driven applications, data integration, and AI-generated content detection. Learn about cutting-edge ML technologies, startup strategies, and potential career opportunities in this rapidly evolving field. Apply for open roles at featured companies and explore thousands of startup job opportunities through the provided links.

- Tech Talk by Andrew Yates, Promoted.ai YC W21: “How to stack recommendation models to always win”
- Q&A with Andrew Promoted.ai
- Tech Talk by Josh Albrecht, Generally Intelligent YC S17: “How and why we created one of the fastest 3D Reinforcement Learning simulators in the world”
- Q&A with Josh Generally Intelligent
- Company pitch by Jay Chia, Eventual YC W22
- Company pitch by Stan Fich, HyperGlue YC W21
- Company pitch by Ben Colman, Reality Defender YC W22