Austin Matthews is a Senior Research Scientist based in Mountain View with 13 years of experience building and evaluating AI systems, particularly in language technologies. He holds an MS and PhD in Language Technologies from Carnegie Mellon and has bridged academic research with industry impact at Amazon, Unbabel, and Otter.ai. At Google he focused on evaluating AI coding capabilities, bringing a practical research mindset to product-facing AI evaluation and deployment. His background includes producing production-ready NLP solutions—from sentiment engines and translation systems to large-scale research at Amazon—reflecting a rare mix of deep linguistic modeling and pragmatic engineering. Austin’s career arc shows consistent movement from core research to applied product problems, suggesting he excels at turning novel models into measurable user-facing improvements. Based in Silicon Valley, he pairs rigorous academic training with hands-on systems experience that accelerates ML research into production.
13 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy - PhD Language Technologies, Doctor of Philosophy - PhD Language Technologies at Carnegie Mellon University
Bachelor of Science (B.S.) Mathematics and Computer Science, Bachelor of Science (B.S.) Mathematics and Computer Science at University of North Carolina at Chapel Hill
Contributions:13 pushes, 1 branch in 5 years 10 months
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Austin Matthews - Senior Research Scientist at Otter.ai