Boris Chen is a Machine Learning Engineer with 12 years of experience building generative AI, computer vision, and recommendation systems across high-impact products. He has been applying advanced video understanding and generative models at Netflix since 2015, after developing article recommendation systems at The New York Times. Trained in applied mathematics (Caltech) and operations research (Princeton), he blends rigorous quantitative foundations with production-grade ML engineering. His background spans research roles (Princeton, JPL) and industry data science, giving him a rare mix of academic rigor and product-focused delivery. Based in the San Francisco Bay Area, he is actively open to research scientist and ML engineering opportunities and brings deep domain experience in media and content personalization. An understated strength is his track record of moving research ideas into scalable systems used by millions.
12 years of coding experience
7 years of employment as a software developer
California Institute of Technology
M.S.E. Operations Research and Financial Engineering, M.S.E. Operations Research and Financial Engineering at Princeton University
Contributions:135 commits, 5 PRs, 105 pushes in 8 years 1 month
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