Summary
Seth Hirsh is an applied scientist with 11 years of experience applying ML research to real-world product problems across companies like Lyft, Freenome, Stripe, and Thumbtack. He specializes in forecasting, incentives, rider experience, and dispatch, translating theoretical methods in unsupervised and time-series learning into production-ready solutions. Trained as a PhD computational physicist from the University of Washington with dual undergraduate degrees in applied math and physics from UC Berkeley, he bridges rigorous theory and practical engineering. His background includes internships at Facebook Reality Labs/Oculus where sensor-focused CV work led to a patent filing, and research on high-dimensional dynamics that informed novel dimensionality-reduction approaches. Based in Redwood City, Seth is comfortable moving between research, experimentation, and scalable ML systems to drive measurable business impact.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Computational Physics, Doctor of Philosophy - PhD Computational Physics at University of Washington
Bachelor of Arts (B.A.) Applied Mathematics, Bachelor of Arts (B.A.) Applied Mathematics at University of California, Berkeley