Aaron Phillips is a Staff Software Engineer in Mountain View with 18 years of experience applying machine learning and language technologies to large-scale information problems. He holds an MS and PhD in Language Technologies from Carnegie Mellon and has combined academic research with production engineering at Google since 2014, following roles at SRI, Safaba, and research labs at Johns Hopkins and CMU. His work focuses on machine translation, natural language understanding, and scalable data processing—translating deep-language research into systems that manage the modern information explosion. Colleagues describe him as someone who bridges rigorous research methods and pragmatic engineering, shipping robust models and pipelines in production environments. An unusual asset is his dual undergraduate background in computer science and theological studies, which informs a thoughtful approach to language, meaning, and the ethics of information at scale.
18 years of coding experience
15 years of employment as a software developer
BS, Biblical and Theological Studies, BS, Biblical and Theological Studies at Wheaton College
Masters, Language Technologies, Computer Science, Masters, Language Technologies, Computer Science at Carnegie Mellon University
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Aaron Phillips - Staff Software Engineer at Google