Amir Ghaderi is a Senior Machine Learning Engineer with a decade of experience building perception systems for autonomous vehicles and camera-based AI. Currently at Waymo after leading perception work at Zoox, he brings deep expertise in computer vision and deep learning developed through roles at Facebook, AutoX, and research during a PhD at UT Arlington. He has a strong track record of moving research into production—designing perception stacks that operate in real-world driving conditions. Based in the San Francisco Bay Area, Amir combines academic rigor with practical deployment experience across startups and large tech firms. An unusual blend of industrial engineering, business training, and a PhD gives him a systems-oriented view of ML problems, from algorithm design to product integration.
10 years of coding experience
10 years of employment as a software developer
Ph.D Computer Science, Ph.D Computer Science at The University of Texas at Arlington
Amirkabir University of Technology
Master's degree Business Administration and Management General, Master's degree Business Administration and Management General at University of Tehran
Contributions:2 PRs, 2 pushes, 2 branches in 1 day
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Amir Ghaderi - Senior Machine Learning Engineer at Waymo