Rob Chambers is a Senior ML Engineer with 12 years of hands-on experience building and deploying machine learning systems across autonomous vehicles, consumer products, and research settings. He brings deep expertise in scientific Python (15 years), deep learning, NLP, computer vision, GIS, and large-scale data pipelines, and has shipped production ML that prevents harmful content at Facebook and powers consumer features at Whistle. At startups like Yoodli he was a foundational technical hire who led ML engineering, data engineering, and a full-stack codebase overhaul to deliver scalable NLP and recommendation systems. Currently focused on prediction and behavior ML for autonomous vehicles at Zoox after a recent role at Motional, he excels at taking complex scientific algorithms from prototype to cloud, mobile, or embedded deployments. Equally comfortable with databases, devops, and web stacks, he’s known for improving performance and reliability in high-throughput systems (pipelines processing hundreds of billions of events/day). Outside work he’s blended consulting, travel, and longer sabbaticals into a career rhythm that fuels practical curiosity and wide technical breadth.
12 years of coding experience
14 years of employment as a software developer
Study Abroad, Study Abroad at The University of Western Australia
BS Engineering, BS Engineering at Harvey Mudd College
MS Mechanical Engineering, MS Mechanical Engineering at Stanford University
Contributions:62 commits, 5 pushes, 1 branch in 2 years 4 months
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