Matt Sosna is a Senior Machine Learning Engineer at Meta with eight years of experience building production ML pipelines and classifiers to scale detection of abusive behavior, particularly around elections. He blends a strong research pedigree—a PhD in Ecology and Evolutionary Biology and NSF and Fulbright fellowships—with practical engineering skills in Python, SQL, Haskell, C++, and PySpark. His background spans data-quality automation, large-scale feature engineering (including scraping 700k+ IRS forms), and building customer-facing analytics at startups and enterprise teams. Matt has also tutored bootcamp students in full-stack and data tooling, reflecting a knack for explaining complex systems clearly. Colleagues would note his unusual path from published behavioral ecology research to high-impact ML systems, which gives him a data-driven, experiment-first approach to product problems.
8 years of coding experience
7 years of employment as a software developer
University of Illinois Urbana-Champaign
Ph.D., Ecology and Evolutionary Biology, Ph.D., Ecology and Evolutionary Biology at Princeton University
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