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Sam Hallman Email & Phone Number

Staff Software Engineer at Waymo
Location: San Francisco Bay Area, United States 6 work roles 2 schools
1 work email found @amazon.com 2 phones found area 714 LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 2 phones

Work email s****@amazon.com
Direct phone (714) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Staff Software Engineer
Location
San Francisco Bay Area, United States

Who is Sam Hallman? Overview

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Quick answer

Sam Hallman is listed as Staff Software Engineer at Waymo, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at amazon.com, phone signal with area code 714, and a matched LinkedIn profile for Sam Hallman.

Sam Hallman previously worked as Senior Applied Scientist at Amazon and Applied Scientist II at Amazon. Sam Hallman holds Doctor Of Philosophy (Ph.D.), Computer Science from Uc Irvine.

Company email context

Email format at Waymo

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{first_initial}{last}@amazon.com
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AeroLeads found 1 current-domain work email signal for Sam Hallman. Compare company email patterns before reaching out.

Profile bio

About Sam Hallman

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.

Listed skills include Computer Vision, Machine Learning, Matlab, C++, and 5 others.

Current workplace

Sam Hallman's current company

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Waymo
Waymo
Staff Software Engineer
AeroLeads page
6 roles

Sam Hallman work experience

A career timeline built from the work history available for this profile.

Staff Software Engineer

Current

Mountain View, California, Us

Perception

Oct 2024 - Present

Senior Applied Scientist

Seattle, Wa, Us

Extended 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.

Oct 2022 - Jun 2024

Applied Scientist Ii

Seattle, Wa, Us

Built 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.

Jan 2019 - Oct 2022

Software Development Engineer Ii

Seattle, Wa, Us

Engineered 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.

Sep 2017 - Jan 2019

Software Development Engineer

Seattle, Wa, Us

Responsible 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.

Nov 2015 - Sep 2017

Research Intern

Los Alamos, Nm, Us

Summer internship focusing on vehicle detection in satellite imagery

Jun 2010 - Aug 2010
2 education records

Sam Hallman education

Doctor Of Philosophy (Ph.D.), Computer Science

Uc Irvine

Bachelor'S Degree, Computer Science

Uc Irvine
FAQ

Frequently asked questions about Sam Hallman

Quick answers generated from the profile data available on this page.

What company does Sam Hallman work for?

Sam Hallman works for Waymo.

What is Sam Hallman's role at Waymo?

Sam Hallman is listed as Staff Software Engineer at Waymo.

What is Sam Hallman's email address?

AeroLeads has found 1 work email signal at @amazon.com for Sam Hallman at Waymo.

What is Sam Hallman's phone number?

AeroLeads has found 2 phone signal(s) with area code 714 for Sam Hallman at Waymo.

Where is Sam Hallman based?

Sam Hallman is based in San Francisco Bay Area, United States while working with Waymo.

What companies has Sam Hallman worked for?

Sam Hallman has worked for Waymo, Amazon, and Los Alamos National Laboratory.

How can I contact Sam Hallman?

You can use AeroLeads to view verified contact signals for Sam Hallman at Waymo, including work email, phone, and LinkedIn data when available.

What schools did Sam Hallman attend?

Sam Hallman holds Doctor Of Philosophy (Ph.D.), Computer Science from Uc Irvine.

What skills is Sam Hallman known for?

Sam Hallman is listed with skills including Computer Vision, Machine Learning, Matlab, C++, C, Linux, Java, and Python.

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