Noah Young

Senior Machine Learning Engineer at Mashgin

Palo Alto, California, United States
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Summary

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Senior
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Top School
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.
code14 years of coding experience
job11 years of employment as a software developer
bookJohns Hopkins University
bookMaster of Science (M.S.), Bioengineering, Master of Science (M.S.), Bioengineering at Stanford University
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Github Skills (152)

notebook10
parallel10
python10
ipython10
deep-learning10
vimba-sdk10
ray10
optimization10
bokeh10
mdp10
ipywidgets10
transformer10
nlp10
memoization10
jupyter10

Programming languages (9)

TypeScriptC#JavaC++SWIGJavaScriptHTMLJupyter Notebook

Github contributions (5)

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npyoung/kOS-scripts

Jun 2016 - May 2020

Contributions:47 commits, 16 pushes, 1 branch in 3 years 11 months
npyoung/awstools

Nov 2018 - Dec 2022

Contributions:23 commits, 47 pushes, 1 branch in 4 years 2 months
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Noah Young - Senior Machine Learning Engineer at Mashgin