Riley Matthews
Founding ML Engineer at Stream
San Francisco Bay Area United States
Summary
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Senior🎓
Top SchoolRiley Matthews is a founding ML engineer based in the San Francisco Bay Area with 11 years of experience building data-heavy machine learning systems from research to production. At Google Research they led ML engineering for large LLM experiments, published applied-ML papers, and operated the data pipelines behind the Fact Check Corpus and Explorer; prior roles span demand forecasting at Blue Apron and semi-supervised document parsing for Pfizer Analytics Lab. Riley blends rigorous Stanford training in Management Science & Engineering and Mathematical & Computational Science with hands-on expertise in pretraining, fine-tuning, graph mining, and production data infrastructure. Known for shipping end-to-end systems that turn messy, high-volume signals into usable ML products, they thrive on mission-driven teams where research ideas are operationalized at scale.
11 years of coding experience
8 years of employment as a software developer
Master’s Degree, Management Science and Engineering, Master’s Degree, Management Science and Engineering at Stanford University
EnglishGithub contributions (5)
rileym/gg1Sim
Jan 2015 - Mar 2015
Contributions:24 commits, 22 pushes, 1 branch in 1 month
rileym/statLearnUtils
Jan 2015 - Sep 2016
Contributions:15 pushes, 1 branch in 1 year 9 months
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