Max Cantor is a Senior Machine Learning Engineer at Invisible Technologies since May 2025, with prior experience as a Senior Machine Learning Operations Engineer at Midcontinent Independent System Operator and Senior Machine Learning Engineer roles at Medical Solutions and Capital One. Beginning as a Machine Learning Engineer 2 at Condé Nast, Max demonstrated expertise in data engineering as a fellow at Insight Data Science, where a distributed pipeline for analyzing text data was developed. Academic credentials include a Master's degree in Cognitive Psychology and Cognitive Neuroscience from the University of Colorado Boulder and a BA in Psychology from the University of Michigan, complemented by research roles at the university's Computational Neurolinguistics and Culture and Language Development Labs.
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