Summary
Nick Ryder is a research-focused software engineer and Member of Technical Staff at OpenAI, where he leads data and scaling research and played a core role in developing GPT-3 and Codex. With a PhD in Mathematics from UC Berkeley and eight years of experience bridging deep theory and production, he specializes in making large models and data pipelines scale reliably. Previously an applied scientist intern at AWS, he combines rigorous mathematical training with hands-on engineering to turn research into deployable systems. Based in the San Francisco Bay Area, he’s comfortable operating at the intersection of cutting-edge research and production constraints, often focusing on the practical challenges of dataset curation and infrastructure for massive models.
8 years of coding experience
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at University of California, Berkeley
Bachelor of Arts - BA, Mathematics, Bachelor of Arts - BA, Mathematics at Rice University