Summary
Chase Bowers is an AI safety researcher and software engineer with a decade of experience building machine learning systems at leading tech organizations. He has shipped production ML and software projects across Google, Meta, and startups, and now focuses on alignment research as an AI Safety Research Fellow at Anthropic. His background in applied mathematics underpins a practical, quantitative approach to complex model behavior and systems reliability. Chase moves comfortably between research and engineering—translating safety insights into reproducible experiments and production-ready tooling. Based in New York, he brings experience from both high-scale consumer platforms and smaller, fast-moving teams, which gives him an unusual blend of product sensitivity and rigorous evaluation. Outside of formal roles he’s consistently pursued hands-on experimentation in ML and systems, making him adept at spotting subtle failure modes before they surface in production.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.) Applied Mathematics, Bachelor of Science (B.S.) Applied Mathematics at Texas A&M University