David Rein is a Member of Technical Staff in San Francisco with nine years of experience at the intersection of ML research and engineering, currently focusing on evaluation science for AI at METR. He was an early technical hire at Cohere where he worked on representation learning and ML infrastructure, and later conducted alignment research at NYU producing datasets and papers like GPQA and work on debate as oversight. Comfortable shifting between research and production, he bridges rigorous experimental methods with practical tooling to improve model reliability. Trained in computer science and philosophy at Duke, he brings a habit of clear conceptual thinking to thorny AI-safety problems and a track record of releasing research artifacts used by the community.
9 years of coding experience
4 years of employment as a software developer
B.S. Computer Science B.A. Philosophy, B.S. Computer Science B.A. Philosophy at Duke University
Contributions:130 commits, 115 pushes, 4 branches in 4 years 2 months
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