Matt Murphy is a software engineer specializing in ML-driven large-scale recommender systems, with a decade of experience building real-time infrastructure, feature pipelines, and scalable training. Based in San Francisco, he shaped retrieval and ranking pipelines, embedding modeling, and GPU-accelerated training, delivering end-to-end ML capabilities across Facebook and Instagram as a technical lead and later Staff Software Engineer at Meta. He recently joined Fireworks AI as a Software Engineer to continue advancing AI-powered recommendations and systems at scale. He co-authored influential research on GPU training for large-scale recommendation models (HPCA 2021) and has deep exposure to AutoML tooling and foundation-model design for multi-stage retrieval and content understanding. His background spans biology-informed bioinformatics internships and a BA in Computer Science from Grinnell College, underscoring a data-driven, cross-domain curiosity. He maintains a personal portfolio at murphymatthew.com, reflecting hands-on engineering and an ethos of practical, production-ready ML systems.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Arts (B.A.), Computer Science, Bachelor of Arts (B.A.), Computer Science at Grinnell College
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