Senior Director Of Machine Learning And Data Engineering
San Francisco, California, United States
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Summary
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Senior
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Top School
Chris Albon is a seasoned machine learning and data engineering leader with 12+ years of experience building data-driven systems across mission-driven organizations and startups. Currently Senior Director of Machine Learning and Data Engineering at the Wikimedia Foundation, he has led ML teams at scale and previously drove data science initiatives at Devoted Health, BRCK, Ushahidi, and FrontlineSMS. He combines academic rigor—a Ph.D. in Political Science studying civil wars and healthcare—with practical product experience as a founder (Popily, Yonder) and author of Machine Learning for Python Cookbook. Known for translating complex research into deployable systems, he’s comfortable bridging policy, humanitarian, and commercial domains to deliver measurable impact. Based in San Francisco, he pairs strategic leadership with hands-on tooling and educational work (Machine Learning Flashcards, a long-running data science podcast), reflecting a commitment to making ML accessible and usable. An uncommon strength is his history of applying ML to low-resource and public-interest settings, which informs how he designs resilient, equitable data systems.
12 years of coding experience
14 years of employment as a software developer
Ph.D., Political Science, Ph.D., Political Science at University of California, Davis
Undergraduate, Political Science, Religious Studies, International Studies, Undergraduate, Political Science, Religious Studies, International Studies at University of Miami
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Chris Albon - Senior Director Of Machine Learning And Data Engineering