Summary
Sean Friedowitz is a Senior Machine Learning Engineer specializing in dynamic pricing with eight years of experience bridging physics, materials science, and production ML. He combines a PhD-trained background in polymer physics and computational modeling from Stanford with hands-on roles scaling ML systems at companies including Uber, Mozilla.ai, and Citrine Informatics. Sean is fluent in turning first-principles modeling and large-scale simulation experience into robust data-driven pricing and inference pipelines, and has led interdisciplinary teams that connect theory, simulation, and experiment. Comfortable in both research and product settings, he has progressed from academic modeling of complex fluids to shipping ML features in high-impact commercial products. Based in California, he brings a rare blend of rigorous scientific thinking and pragmatic engineering for high-stakes, real-time decision systems.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS, Biochemistry, Bachelor of Science - BS, Biochemistry at UC Santa Barbara
Doctor of Philosophy - PhD, Materials Science, Doctor of Philosophy - PhD, Materials Science at Stanford University
Spanish, English