Payton Jones is a Staff Machine Learning Engineer with a Harvard PhD in Experimental Psychopathology and nine years of experience translating rigorous research into production ML systems. He has led ML and data science efforts across recommendation and ad-tech domains, scaling deep learning recommenders to millions of users and optimizing experimental pipelines that informed executive decisions. At Moloco he managed analytics over billions of ad records and ran experiments impacting eight-figure ad spend, and now applies that product-scale expertise at MyFitnessPal. Payton combines psychometrics and graph-theoretic approaches from his academic work to design more interpretable and user-centered models. He’s equally comfortable shipping low-latency, high-throughput services and shaping metric-driven culture through centralized A/B testing frameworks. Based in Issaquah, WA, he brings a scientist’s rigor to pragmatic engineering trade-offs, often surfacing measurement innovations that aren’t obvious from standard ML playbooks.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Experimental Psychopathology, Doctor of Philosophy (Ph.D.) Experimental Psychopathology at Harvard University
Bachelor's Degree Psychology, Bachelor's Degree Psychology at Brigham Young University
Contributions:2 releases, 84 commits, 64 pushes in 3 years 10 months
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Payton Jones - Staff Machine Learning Engineer at MyFitnessPal