Jack Prescott is a Senior Deep Learning Engineer based in the San Francisco Bay Area with 11 years of experience building production ML systems and researching robust learning methods. He progressed from research at Stanford and the University of Virginia—where he was sole first author on a robust learning paper accepted to ICLR 2021—to applied roles at Nex, advancing from Deep Learning Engineer to Senior Deep Learning Engineer. His background includes internships at Apple, Microsoft, and Jump Trading, reflecting strong software engineering foundations alongside ML expertise. Jack combines interests in cryptography and machine learning, positioning him to work on privacy-preserving and security-conscious AI products as those fields converge. He is comfortable bridging research and engineering, shipping models in production while grounding work in formal robustness and statistical thinking.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Arts - BA, Computer Science, Mathematics, Statistics, and Astronomy, Bachelor of Arts - BA, Computer Science, Mathematics, Statistics, and Astronomy at University of Virginia
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Jack Prescott - Senior Deep Learning Engineer at Nex