Cherie Xue is an ML/AI engineer with eight years of experience building responsible and production-ready machine learning systems across big tech and startups in New York. She has led ML teams and research efforts—most recently heading GenAI observability and evaluation as Technical Lead before joining Clay as an ML/AI Engineer—bringing hands-on expertise from fairness work at Facebook AI and Instagram equity initiatives. Her background spans NLP research, reinforcement learning for conversational agents, and deploying fairness and monitoring tooling, bridging research and product-focused engineering. A Stanford Symbolic Systems graduate with a second BA in French, she combines rigorous AI foundations with cross-disciplinary thinking and practical software delivery. Notably, her early work quantified social reward in neuroscience and earned a research prize, reflecting a long-standing interest in measurable human-centered outcomes. Colleagues rely on her to translate complex algorithmic concerns into robust, auditable systems that meet real-world policy and user-safety constraints.
8 years of coding experience
9 years of employment as a software developer
Scarsdale High School
Bachelor of Science - BS, Symbolic Systems (Artificial Intelligence), Bachelor of Science - BS, Symbolic Systems (Artificial Intelligence) at Stanford University
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