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I’m a former Senior Applied Scientist at Amazon, where I spent 8.5 years working on Amazon's Just Walk Out technology, specializing in computer vision. During my tenure, I contributed to multi-target tracking, human pose estimation, video action recognition, and scalable training infrastructure. Prior to Amazon, I earned a Ph.D. in computer vision from UC Irvine in September 2015.
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Staff Software EngineerWaymo Oct 2024 - PresentMountain View, California, UsPerception -
Senior Applied ScientistAmazon Oct 2022 - Jun 2024Seattle, Wa, UsExtended our multi-camera action recognition network to support multi-quantity product picks and returns. Owned the creation of a new training platform for JWO that reduced training time from ~12 days to < 1 day. Proposed and independently developed a scalable training solution, enabling processing of datasets exceeding disk capacity by streaming data during training, ensuring instant startup and rapid recovery from failures. Fostered close collaboration with engineers to construct a robust system for automatically mining hard cases from in-store footage and seamlessly integrating them into our training dataset. -
Applied Scientist IiAmazon Jan 2019 - Oct 2022Seattle, Wa, UsBuilt the core tracking and re-identification algorithms used for the next-generation person tracking pipeline now used in all modern Just Walk Out (JWO) stores. Spearheaded the initiative to construct a robust human parser and its associated auto-annotation pipeline, facilitating automatic generation of ground truth at scale from in-store shopping footage without manual annotations or review. Optimized the core JWO video action recognition solution, achieving a 10x reduction in latency while preserving accuracy.
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Software Development Engineer IiAmazon Sep 2017 - Jan 2019Seattle, Wa, UsEngineered and optimized a high-performance C++ platform for Amazon Go's real-time 3D customer tracking algorithms, achieving simultaneous tracking of all customers in-store at 15 FPS with high reliability. Collaborated with scientists to enhance and optimize research algorithms, serving as a bridge between research and engineering teams.
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Software Development EngineerAmazon Nov 2015 - Sep 2017Seattle, Wa, UsResponsible for the engineering platform for real-time customer detection and tracking within Amazon Go stores. Integrated classical computer vision techniques as well as modern deep learning methods. Also led documentation efforts for research algorithms and delivered educational lectures to engineering teams, providing detailed insights into research code and algorithms.
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Research InternLos Alamos National Laboratory Jun 2010 - Aug 2010Los Alamos, Nm, UsSummer internship focusing on vehicle detection in satellite imagery
Sam Hallman Skills
Sam Hallman Education Details
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Uc IrvineComputer Science -
Uc IrvineComputer Science
Frequently Asked Questions about Sam Hallman
What company does Sam Hallman work for?
Sam Hallman works for Waymo
What is Sam Hallman's role at the current company?
Sam Hallman's current role is Software Engineer @ Waymo.
What is Sam Hallman's email address?
Sam Hallman's email address is sh****@****uci.edu
What is Sam Hallman's direct phone number?
Sam Hallman's direct phone number is +171429*****
What schools did Sam Hallman attend?
Sam Hallman attended Uc Irvine, Uc Irvine.
What skills is Sam Hallman known for?
Sam Hallman has skills like Computer Vision, Machine Learning, Matlab, C++, C, Linux, Java, Python, Git.
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