Machine Learning Researcher (Reward Modeling) at Mewtant
Toronto, Ontario, Canada
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Summary
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Rockstar
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Top School
Xinlei Xu is a Machine Learning Researcher based in Toronto with seven years of experience building end-to-end ML systems, currently focused on reward modeling. At Mewtant he progressed from intern to researcher, blending full-stack ML engineering with modeling and systems work to move research into production. He is comfortable across the ML stack—from data acquisition and infrastructure to training and evaluation—and prioritizes practical, scalable solutions. Though based remotely (GitHub bio: Wfh), he brings consistent hands-on research experience from a rigorous Computer Science background at the University of Toronto.
7 years of coding experience
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Toronto
Contributions:48 commits, 1 PR, 41 pushes in 7 days
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