Justin Basilico is a principal engineer and seasoned machine learning leader with over two decades of experience building personalization and recommender systems at scale, most recently shaping discovery at Google after leading recommendation algorithm teams at Netflix. He combines deep research pedigree and hands-on engineering—bringing collaborative filtering, learning-to-rank, deep learning, bandits and transformers from lab to production for hundreds of millions of users. Justin excels at end-to-end systems: designing models, instrumenting large-scale experiments, deploying real-time ranking, and evolving the infrastructure that powers personalized experiences. He’s driven cross-functional R&D to integrate LLMs and generative techniques into recommendation surfaces, with a practical focus on human-aligned, trustworthy agents and natural language interfaces. Known for bridging research, product, and strategy, he mentors teams to move fast without sacrificing rigor and has a track record of operationalizing novel ML methods in high-stakes production environments. Based in Los Gatos, he pairs academic roots (M.S. Brown University) with decades of industrial impact across national labs and consumer tech.
15 years of coding experience
9 years of employment as a software developer
M.S. Computer Science, M.S. Computer Science at Brown University
H.S., H.S. at Milton Academy
B.A. Computer Science, B.A. Computer Science at Pomona College
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.