Derek Larson is a machine learning engineer with eight years of industry experience and a Ph.D. in physics who transitioned from academic quantum simulation to applied ML to have more tangible societal impact. He has led data science and engineering efforts at Sojern—building automated ad-spend and audience platforms that drove measurable improvements in campaign delivery and cost—and most recently joined Meta to continue applied ML work at scale. Derek combines rigorous scientific modeling and C++/MPI simulation experience with hands-on product engineering, shipping feature-rich pipelines that cut manual effort and improved outcomes by double-digit percentages. He’s comfortable leading small teams, defining productized ML systems, and translating complex research concepts into production code; his background in disordered spin networks gives him an unusual intuition for complex, high-dimensional models. Based in Seattle, he’s actively focused on deep learning and building systems that turn research insights into deployable value.
8 years of coding experience
7 years of employment as a software developer
B.S. Physics and Mathematics, B.S. Physics and Mathematics at University of Minnesota
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