Ke Ye is a Member of Technical Staff at Anthropic, with prior experience as an ML Research Engineer at Apple, focusing on LLM Post Training and Large Scale Reinforcement Learning. Previous roles include Senior Software Engineer at Google, where expertise was developed in Deep Learning, Natural Language Processing, and Computer Vision, alongside positions that addressed Large Scale Machine Learning and Deep Information Retrieval. Ke Ye also worked as a Quantitative Trader at Tower Research Capital, specializing in high-frequency trading, and served as a Graduate Research Assistant at Caltech, engaging in advanced topics in theoretical and mathematical physics. Academic credentials include a PhD in Theoretical and Mathematical Physics from Caltech and a Bachelor of Science degree in Physics from Peking University. Additionally, early research at Peking University involved Monte Carlo simulations related to the Large Hadron Collider.
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