Staff Machine Learning Engineer at Lockheed Martin
Aurora, Colorado, United States
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Summary
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Jacob Carroll is a Staff Machine Learning Engineer with nine years of experience applying physics-grade rigor to AI research and production, currently leading Sensemaking AI/ML IRAD at Lockheed Martin. He blends a PhD in Physics and a strong statistics background to build ATR, ontology-driven reasoning, open-set recognition, and NLP systems that bridge research and deployed defense capabilities. Jacob has led cross-functional teams from flight software for space missions to behavior-categorization models, demonstrating both low-level C++ neural modeling and higher-level ML pipeline ownership. His work includes neural dynamics research and sparse CNN studies that earned recognition at Los Alamos and publications in top venues, signaling a rare mix of theoretical insight and practical engineering. Based in Aurora, Colorado, he thrives on translating complex scientific problems into robust, operational solutions for high-assurance environments.
8 years of coding experience
8 years of employment as a software developer
Associate of Arts and Sciences (A.A.S.), Science, Highest Honors, Associate of Arts and Sciences (A.A.S.), Science, Highest Honors at Lord Fairfax Community College
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Jacob Carroll - Staff Machine Learning Engineer at Lockheed Martin