Frances Chen
Machine Learning Engineer at Google
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolFrances Chen is a machine learning engineer with 14 years of experience, currently building automatic speech recognition models at Google. She has a strong applied math and computer science foundation from Brown University and a track record shipping recommendation and classification systems at Pinterest. Her background spans end-to-end ML work—from feature pipelines and candidate generation to ranking and production ASR—reflecting both research-informed modeling and product-focused engineering. Frances has hands-on experience with multimodal pretraining and post-training techniques noted in her GitHub bio, hinting at cross-modal expertise beyond speech. Early roles include building ML-driven notification timing systems and data ingestion tools, showing a knack for practical automation and data engineering. Based in New York, she blends academic rigor with production-scale impact across personalization and speech domains.
13 years of coding experience
2 years of employment as a software developer
Bachelor of Science (B.Sc.), Applied Math- Computer Science, Bachelor of Science (B.Sc.), Applied Math- Computer Science at Brown UniversityLeland High SchoolRoss Mathematics Program
Chinese, English
Github Skills (10)
python9
ai9
machine-learning9
deep-learning8
google8
tensorflow8
data-science7
neural-network7
ml5
deep-neural-networks5
Programming languages (2)
Github contributions (5)
kfrancischen/galaxy
Apr 2020 - Oct 2022
Contributions:152 commits, 148 pushes in 2 years 6 months
kfrancischen/MESH
Jul 2016 - Feb 2021
Contributions:409 commits, 358 pushes, 4 branches in 4 years 8 months
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