Principal Machine Learning Scientist At Sage AI Labs
Redmond, Washington, United States
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Summary
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Senior
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Yu-cheng Tsai is a Principal Machine Learning Scientist with nine years of experience building production-grade ML systems at the intersection of fintech and consumer applications. He designs and ships scalable pipelines—time-series backtesting, learning-to-rank, and recommendation engines—using TensorFlow, Spark, Kubernetes/Argo, and MLflow to improve online metrics and operational test coverage. His work spans computer vision (image segmentation and object detection), NLP, and constrained spectral clustering for user segmentation, and has produced patented image-retrieval and recommendation technology. Comfortable moving models from prototype to orchestrated production, he also has a strong experimental background in mixed-effects modeling and randomized-forest regression informed by a PhD in Mechanical and Aerospace Engineering. Based in Redmond, he combines academic rigor with cross-border project leadership and a track record of turning complex modeling research into measurable business impact.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Applied Science (B.A.Sc.), Mechanical Engineering, Bachelor of Applied Science (B.A.Sc.), Mechanical Engineering at National Taiwan University
Doctor of Philosophy (Ph.D.), Mechanical and Aerospace Engineering, Doctor of Philosophy (Ph.D.), Mechanical and Aerospace Engineering at Princeton University
Contributions:2 pushes, 1 branch in 1 year 8 months
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Yu-cheng Tsai - Principal Machine Learning Scientist At Sage AI Labs