Jiun Yen is a machine learning engineer with nine years of experience building production ML systems, now at Meta after driving recommendation quality at iHeartMedia. He blends deep academic training—a Ph.D. in Biological Systems Engineering—with hands-on work deploying models and ETL pipelines in the AWS ecosystem. Jiun has a track record improving recommendation CTRs (notably >20% overall and >95% for cold-start at iHeartMedia) and shipping APIs and scalable infrastructure for both consumer and scientific applications. His background in computational biology and protein classification informs a data-centric approach to highly imbalanced, multi-label problems. Based in San Carlos, he favors collaborative, experiment-driven teams and routinely prototypes novel methodologies to push recommendation performance. Colleagues describe him as a practical researcher who moves models from lab prototypes to robust production services.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Biological Systems Engineering, Doctor of Philosophy (Ph.D.) Biological Systems Engineering at Virginia Tech
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Contributions:8 commits, 2 PRs, 4 pushes in 1 year 4 months
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Jiun Yen - Software Engineer - Machine Learning at Meta