Austin Derrow-pinion is a Machine Learning Engineer with 10 years of experience applying graph learning, transfer learning, and NLP to large-scale production systems at DeepMind, Google, and Meta. He has built graph neural networks for tasks ranging from Google Maps ETA and YouTube recommendations to misinformation detection, and engineered an experimentation system in the Search index to accelerate and economize testing. Now at Meta he focuses on representation learning and ad prediction models that bridge research and production. With a dual background in Computer Science and Mathematics from Rose‑Hulman, he combines mathematical rigor with pragmatic engineering to ship scalable ML systems. An early full‑stack background and internship experience across APIs and geo‑services give him a rare fluency in both model design and the infrastructure needed to deploy it.
10 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree, Computer Science and Mathematics, Bachelor’s Degree, Computer Science and Mathematics at Rose-Hulman Institute of Technology
Contributions:4 PRs, 113 pushes, 2 branches in 1 year 2 months
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Austin Derrow-pinion - Machine Learning Engineer at Meta