Summary
Noah Young is a Senior Machine Learning Engineer in Palo Alto with 14 years of experience building vision AI, optics, and optimization systems for robotics and life-science applications. He blends deep learning for computer vision with optical and signal-processing expertise developed across academia (Stanford, Deisseroth Lab) and industry, shipping edge-ready object recognition, pose estimation, and anomaly detection for robotics and POS systems. His recent work spans point-of-sale deep-vision at Mashgin and neuropsychiatric drug-screening pipelines using organoid imaging at Herophilus, showing a rare ability to translate cutting-edge microscopy methods into robust production models. Noah’s background in bioengineering and applied math underpins a practical focus on inverse problems, sensor calibration, and optical design—skills he’s applied from continuous glucose monitors to patient-specific surgical implants. He’s comfortable operating at the intersection of research and product, moving prototypes from lab-grade proofs to deployable, low-latency systems at the edge.
14 years of coding experience
11 years of employment as a software developer
Johns Hopkins University
Master of Science (M.S.), Bioengineering, Master of Science (M.S.), Bioengineering at Stanford University