Summary
Jackson Kernion is a technical staff engineer at Anthropic with nine years of experience bridging philosophy and applied ML, focused on aligning large language models through interface design and human feedback data analysis. Trained in philosophy of mind and epistemology (PhD, UC Berkeley; AB, Harvard), he brings rigorous thinking about cognitive architecture and scientific methodology to product and research problems. He transitioned from academia—where he taught large introductory courses and rebuilt deductivelogic.org—to industry, keeping a strong hands-on coding practice alongside UX and data work. At Anthropic he combines human-centered interface design with quantitative feedback pipelines to improve model alignment. Comfortable managing small teams and public-facing projects (including a pandemic-era course podcast), he favors pragmatic, explainable solutions over opaque complexity. Based in San Francisco, he blends deep theoretical insight with practical engineering to make LLM behavior more human-aligned.
9 years of coding experience
AB, Philosophy, in Mind, Brain, and Behavior program, AB, Philosophy, in Mind, Brain, and Behavior program at Harvard University
Doctor of Philosophy - PhD, Philosophy, Doctor of Philosophy - PhD, Philosophy at UC Berkeley