Matt Murphy is a software engineer with 10 years’ experience building large-scale ML systems, specializing in recommendation modeling and infrastructure. He led real-time ML platform and GPU-efficiency efforts at Meta, co-authoring work on GPU-trained recommendation models and helping co-design foundation-model retrieval and ranking for recommendation products. Now at Fireworks AI, he focuses on productionizing scalable ML for recommender systems and novel training paradigms. Based in San Francisco with a BA in Computer Science from Grinnell, he blends research experience from MIT Lincoln Laboratory with hands-on engineering at internet scale—an uncommon combination that helps him translate academic insights into deployable, high-throughput 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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