Joy Zeng in

Joy Zeng

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Applied Scientist at Amazon
📍 San Francisco Bay Area, United States

Joy is an Applied Scientist at Amazon with expertise in large language models and their application in e-commerce, contributing to projects like Amazon Rufus. A graduate of Georgia Institute of Technology, her experience spans NLP and deep learning, with a focus on creating innovative, real-world applications.

At a previous role with Nextdoor, she led the development of a generative AI framework that was deployed to ~80 million users, lifting weekly active users by 0. 4% and ad revenue by 1%.

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Experience
3 Years
Current Role
Applied Scientist
Location
San Francisco Bay Area, United States
Personality Overview

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Priorities

Topics Joy cares about

LLMs in E-commerce
Her work at Amazon on conversational shopping LLMs (Rufus) and her SIGIR 2025 paper on LLM adaptation in e-commerce show a clear focus in this area.
Efficient AI Models
Co-authored papers on efficient chain-of-thought reasoning and scalable LLM adaptation, indicating a professional interest in model optimization and performance.
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Career

Work history

6-2024
Applied Scientist
Amazon
5-2023 - 6-2024
Machine Learning Engineer, Generative AI
Nextdoor
12-2022 - 12-2023
Research Assistant
Georgia Institute of Technology
5-2022 - 8-2022
Engineering Intern (Twitter Cortex)
Twitter
10-2021 - 5-2022
Statistician/Research Scientist
Stanford University
In the press

Media appearances

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Education
Master of Science - MS
Georgia Institute of Technology
Bachelor of Arts - BA
Rutgers University–New Brunswick
Social presence
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Behavioral profile

DISC profile (public)

DISC behavioral profile

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