Junshen Chen
Machine Learning Engineer at Meta
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolJunshen Chen is a Machine Learning Engineer with nine years of experience building ML models, inference systems, and interaction-focused engineering, currently working at Meta in the Greater Seattle area. He blends academic rigor from a Stanford MS and research/teaching experience with hands-on production internships at Google, Facebook, and Alibaba. His background shows a consistent focus on turning research into deployable systems—bridging model development, serving infrastructure, and user-facing interaction design. At Stanford he balanced research and instruction, which contributes to a pragmatic approach to complex ML problems and clear technical communication. Peers describe him as someone who navigates both low-level system constraints and high-level model behavior, making trade-offs that scale in production. He brings a curious, interdisciplinary mindset that often uncovers practical optimizations not obvious from model metrics alone.
9 years of coding experience
2 years of employment as a software developer
University of California, San DiegoMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
sarcastic humor
Github Skills (25)
adaptation7
mongodb7
sequential6
robot-simulator6
simulation6
robotics5
computation4
facebook4
mpc4
action-recognition4
cube4
readable4
deep-learning3
multi-party-computation3
scheduling3
Programming languages (4)
Github contributions (5)
jkvc/modular-domain-adaptation
Mar 2022 - Apr 2022
Modular Domain Adaptation is a framework to produce and consume models while addressing the domain misalignment issue
Contributions:53 commits, 2 PRs, 52 pushes in 1 month
consumedomaindomain-adaptationmodularadaptation
jkvc/pickle-jar
Mar 2020 - Mar 2022
a container of pickle slices
Contributions:3 releases, 2 PRs, 11 pushes in 1 year 11 months
golangcontainerspickledockerslices
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