Jay Roberts
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Jay Roberts Email & Phone Number

Member of Engineering at poolside
Location: Seattle, Washington, United States 10 work roles 3 schools
1 work email found @poolside.ai LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email j****@poolside.ai
LinkedIn Profile matched
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Current company
Role
Member of Engineering
Location
Seattle, Washington, United States
Company size

Who is Jay Roberts? Overview

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Quick answer

Jay Roberts is listed as Member of Engineering at poolside, a with 213 employees, based in Seattle, Washington, United States. AeroLeads shows a work email signal at poolside.ai and a matched LinkedIn profile for Jay Roberts.

Jay Roberts previously worked as Senior Applied Scientist at Amazon and Applied Scientist at Amazon. Jay Roberts holds Ph.D, Mathematics from Uc Santa Barbara.

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Email format at poolside

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{first}@poolside.ai
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Profile bio

About Jay Roberts

I have a passion for exploring the intersection of AI and mathematics. I am always looking for opportunities to apply both of these to challenging problems.

Listed skills include Deep Learning, Applied Mathematics, Research, Machine Learning, and 23 others.

Current workplace

Jay Roberts's current company

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poolside
Poolside
Member of Engineering
Seattle, WA, US
Website
Employees
213
AeroLeads page
10 roles · 12 years

Jay Roberts work experience

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

Member Of Engineering

Seattle, Wa, Us

Senior Applied Scientist

Current

Seattle, Wa, Us

Sep 2024 - Present

Applied Scientist

Seattle, Wa, Us

Feb 2024 - Oct 2024

Research Scientist Ii

Seattle, Wa, Us

- Key contributor in crafting organization's GenAI investment and technical strategy- Developed GenAI help bots for internal use cases- Coordinated first organization wide initiatives to collect labeled data for a variety of NLP applications- Rearchitected the AWS infrastructure of internal application used by over 30,000 leaders at Amazon- Develop unsupervised methods for anomaly detection across all of Amazon

May 2022 - Mar 2024

Technical Staff

Lexington, Ma, Us

- Developed novel perturbation based explanations to explain errors and explore concepts learned by COVID-19 lung ultrasound and other image classification AI models, using public data and data gathered by Boston Medical Center collaborators.- Led team of researchers and software developers to design and implement data fusion capabilities on simulated data while maintaining focus on the deployment environment.- Optimized large scale distributed training of AI models across multiple GPU nodes via Pytorch-Lightning and MapReduce methods.- Adapted classifier uncertainty-aware training to synthetic weather radar generation along with metrics to quantify uncertainty alignment with model errors.Led team effort to mature explainable AI research code in order to transition our

Aug 2019 - May 2022

Doctoral Research

Santa Barbara, Ca, Us

- Created novel UNet-based models to predict subsurface structures from seismogram data. Demonstrated capabilities of training on synthetic seismogram data generated by geophysics models.- Designed novel network architectures based on stochastic dynamical systems. - Developed techniques to analyze novel solutions to equations of Magnetohydrodynamics.

Sep 2015 - Jun 2019

Graduate Teaching Assistant

Santa Barbara, Ca, Us

Courses taught: Calculus for the Social Sciences, Calculus with Applications, Introduction to Linear algebra, Differnetial Equations, Vector Calculus, Introduction to Real Analysis, Introduction to Complex Analysis, Inquiry Based Vector Calculus

2015 - Jun 2019

Teaching Associate

Santa Barbara, Ca, Us

Planned coursework for Calculus for the Social Sciences A. I held weekly classes, office hours, coordinated with TA's, and graded homeworks/exams.

Jun 2017 - Aug 2017

Teaching Associate

Santa Barbara, Ca, Us

Course taught: Introduction to Linear Algebra

Jun 2015 - Aug 2015

Deep Learning And Computer Vision Intern

Wilsonville, Or, Us

- Modified existing Tensorflow and Keras models for specialized hardware and data. - Benchmarked SSDs with custom base networks for speed and accuracy.- Researched and experimented with latest architectures and techniques to guide product development.- Integrated successful architectures and data pipelines into existing code base.

Jun 2018 - Jan 2019
3 education records

Jay Roberts education

Ph.D, Mathematics

Uc Santa Barbara

Master Of Arts - Ma, Mathematics

Uc Santa Barbara

Bachelor'S Degree, Mathematics

Uc Santa Barbara
FAQ

Frequently asked questions about Jay Roberts

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

What company does Jay Roberts work for?

Jay Roberts works for poolside.

What is Jay Roberts's role at poolside?

Jay Roberts is listed as Member of Engineering at poolside.

What is Jay Roberts's email address?

AeroLeads has found 1 work email signal at @poolside.ai for Jay Roberts at poolside.

Where is Jay Roberts based?

Jay Roberts is based in Seattle, Washington, United States while working with poolside.

What companies has Jay Roberts worked for?

Jay Roberts has worked for Poolside, Amazon, Mit Lincoln Laboratory, Uc Santa Barbara, and Flir Systems.

How can I contact Jay Roberts?

You can use AeroLeads to view verified contact signals for Jay Roberts at poolside, including work email, phone, and LinkedIn data when available.

What schools did Jay Roberts attend?

Jay Roberts holds Ph.D, Mathematics from Uc Santa Barbara.

What skills is Jay Roberts known for?

Jay Roberts is listed with skills including Deep Learning, Applied Mathematics, Research, Machine Learning, Mathematics, Python, Latex, and Teaching.

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