Summary
Ben Rachbach is a Machine Learning and Evaluation Product Manager with a decade of experience blending software engineering, research, and startup-building to improve how AI answers research questions. At Elicit he leads ML roadmap and a dedicated evaluation team that creates automated, high-fidelity evals—work that drove a ~78% precision improvement in search and underpins the product’s core data-extraction feature. He also designed evals and tasks for published research on iterated decomposition and has hands-on experience translating customer needs into ML specs and MVPs. Earlier roles range from technical PM and experimenter at Ought to leading engineering teams at Wonder Workshop, demonstrating a rare mix of product rigor, empirical research practice, and shipping production systems. Based in the Bay Area, he combines human-centered design instincts with a quantitative, experiment-driven approach to make AI outputs more accurate and vettable.
10 years of coding experience
3 years of employment as a software developer
Catalina Foothills High School
Software Engineering, Software Engineering at Hack Reactor
B.A. with High Honors Chinese and Education Studies, B.A. with High Honors Chinese and Education Studies at Swarthmore College
Chinese, Spanish