Yae Jee Cho is an Applied Research professional at Google, specializing in On-Device Machine Learning. With a Ph. D. from Carnegie Mellon University, her expertise covers distributed and federated machine learning, as well as complex optimization problems, reflecting a deep background in advanced AI research and application.
She co-authored a paper that received the Honor Prize in the 24th Samsung Human Tech Paper Award.
Yae Jee Cho
Software Engineer at Google
Sunnyvale, California, United States
Overview
Topics They Care About
Federated Learning
A core focus of her research and past internships, concentrating on training decentralized machine learning models while maintaining data privacy.
On-Device ML
Her current role at Google centers on the applied research of running machine learning models efficiently on personal devices like smartphones.
ML Optimization
Stated as a key research interest, focusing on solving complex optimization problems within distributed and federated learning environments to improve efficiency.
Media Appearances
Yae has no verified media appearances
Work History
7-2024
Software Engineer at Google
5-2023 - 12-2023
Research Intern at Google
5-2022 - 8-2022
Research Intern at 마이크로소프트
6-2021 - 8-2021
Research Intern at 마이크로소프트
9-2018 - 6-2019
Research And Development Engineer at Mercedes-Benz Korea Ltd.
Education
2019 - 2024
Doctor of Philosophy - PhD from Carnegie Mellon University
2016 - 2018
Master of Science - MS from Yonsei University
More Information
Social Presence :
Prographics :
Exp : 3
Location : Sunnyvale, California, United States
Job Level : Junior
Designation : Software Engineer at Google
