Brad Miller is a Staff Machine Learning Engineer at 𝕏 focused on scaling Community Notes and integrating ML into trust-and-safety products. He holds a PhD in Computer Science from UC Berkeley and spent seven years at Google Safe Browsing where he led crawl-based phishing detection as a tech lead, blending applied ML with backend engineering at internet scale. Prior roles span research and industry—from Carnegie Mellon academic roots to hands-on security work and early technical consulting—giving him a rare mix of principled research and production experience. Known for bringing open-data approaches to misinformation (Birdwatch → Community Notes) and for pragmatic, safety-first ML design, he thrives on building systems that measurably improve online information quality.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of California, Berkeley
Bachelor’s Degree Electrical and Computer Engineering, Bachelor’s Degree Electrical and Computer Engineering at Carnegie Mellon University
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