Jason Ellis is a Senior Technical Program Manager with a decade of experience specializing in AI-use detection and regulatory-compliance tooling at Amazon, building programs that bridge research-grade models and large-scale production constraints. He brings deep technical roots from a prior career as an ML engineering leader and applied research scientist—leading product and engineering for NeoPulse AI Studio and Query Runtime—and a strong academic background with a Ph.D. in physics and postdoctoral work at Los Alamos and Rice. That blend of scientific rigor and product delivery helps him translate complex model behaviors into auditable, customer-focused systems. He’s comfortable across the stack—from developing custom AI models and deployment runtimes to collaborating on published research—and often draws on analytical tooling and older scientific codebases to solve modern ML governance problems. Based in Kirkland, WA, Jason combines hands-on technical leadership with program-level strategic planning to operationalize trustworthy AI at scale.
10 years of coding experience
7 years of employment as a software developer
M.S., Physics, M.S., Physics at University of Oregon
M.A., Physics, M.A., Physics at Kent State University
B.S., Physics, B.S., Physics at Bradley University
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Jason Ellis - Senior Technical Program Manager at Amazon