Jinjie Zhang
Applied Scientist II at Amazon
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolJinjie Zhang is an Applied Scientist II at Amazon specializing in content moderation for large vision-language models within Alexa AI, with eight years of experience bridging multimodal foundation models, generative AI, and signal processing. He holds a PhD in Mathematics from UC San Diego and an MS in Statistics from the University of Chicago, bringing rigorous theoretical grounding to production ML systems. Prior roles include AI/ML engineering in phenomics at GSK and multiple research internships at Amazon, Lenovo, and Mitsubishi Electric Research Labs, reflecting a blend of industry-facing product work and deep research. Jinjie’s work focuses on making advanced multimodal models safe and reliable in real-world voice and vision products, an often-overlooked but critical piece of deployment. He’s comfortable moving models from prototype to scalable service and leverages strong statistical and mathematical tools to diagnose complex model behavior. Based in Seattle, he combines academic depth with practical engineering impact across enterprise and consumer AI.
8 years of coding experience
2 years of employment as a software developer
University of California, San DiegoBachelor of Science - BS, Information and Computing Sciecne, Bachelor of Science - BS, Information and Computing Sciecne at Beijing Jiaotong UniversityMaster of Science - MS, Statistics, Master of Science - MS, Statistics at University of Chicago
English, ChineseGithub contributions (5)
YixuanSeanZhou/Quantized_Neural_Nets
Oct 2021 - Sep 2022
Contributions:112 commits, 19 pushes, 1 issue in 11 months
jayzhang0727/jayzhang0727.github.io
Jan 2022 - Sep 2023
Contributions:47 pushes, 1 branch in 1 year 7 months
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