AI Labs Engineer at ExodusPoint Capital Management, LP
New York, New York, United States
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Summary
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Rockstar
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Top School
Max Cembalest is an AI Labs Engineer and "creative quant" who combines a rigorous mathematics and CS background with hands-on experience building developer tools and interpretability research for production ML systems. He has shipped SDKs and embedding-focused tooling at Nomic, drove ML monitoring and failure-mode research at Arthur (with papers at ICLR/AIES/SatML), and now applies that product-and-research lens at ExodusPoint. A former teacher who designed game-based Python curricula at African Leadership Academy, he brings a pedagogy-first perspective to developer experience and model explanations. Max’s work sits at the intersection of games, puzzles, and AI—reflecting a curiosity about what models can and shouldn’t be asked to do—and he’s equally at home prototyping demos, running embedding benchmarks, or translating model behavior into human-readable insights.
5 years of coding experience
8 years of employment as a software developer
Masters Data Science, Masters Data Science at Harvard John A. Paulson School of Engineering and Applied Sciences
Bachelor’s Degree Mathematics and Computer Science, Bachelor’s Degree Mathematics and Computer Science at Wesleyan University
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Max Cembalest - AI Labs Engineer at ExodusPoint Capital Management, LP