Chris Johnson is an AI and data executive with 14+ years building large-scale personalization and recommendation systems across job search, music streaming, and e-commerce, now serving as SVP of AI & Data in Austin. He blends hands-on machine learning research (MS in CS, publications at NeurIPS, RecSys, AISTATS) with org-scale product and engineering leadership, having led teams of 200–350+ engineers and scientists to productionize ML platforms, agent frameworks, and responsible-AI tooling. Chris has repeatedly shipped measurable product gains—from double-digit engagement lifts at Amazon to AI-driven matching for hundreds of millions of jobseekers at Indeed—and recently focused on LLMs and personalized AI agents. Comfortable toggling between model architecture, platform engineering, and human-centered product design, he’s equally at home in papers and postmortems. Colleagues cite him for building cross-functional, data-driven teams that turn research insights into scalable customer impact.
14 years of coding experience
17 years of employment as a software developer
PhD (not completed), Computer Science, Machine Learning, PhD (not completed), Computer Science, Machine Learning at The University of Texas at Austin
Contributions:9 commits, 1 push in 4 years 6 months
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