Jonathan Jin
Staff Machine Learning Engineer at Hinge
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolJonathan Jin is a Staff Machine Learning Engineer with 12 years of experience building production-grade ML platforms and AI infrastructure across consumer and research-focused companies. Currently leading model serving strategy and co-developing LLMOps capabilities at Hinge, he previously shaped cloud-native compute orchestration, SDKs, and governance at Spotify and built GPU-scheduling and distributed data-loading prototypes at NVIDIA. He combines hands-on systems engineering with product-minded platform design, advising nonprofits on technical roadmaps and managing small teams to deliver on mission-driven projects. Based in New York, Jonathan translates complex ML workflows into scalable, operational systems and has a track record of moving models from prototype to reliable service.
12 years of coding experience
9 years of employment as a software developer
Bachelor of Science (BS) Computer Science Economics, Bachelor of Science (BS) Computer Science Economics at University of Chicago
Chinese, Japanese
Stackoverflow
496reputation
35kreached
8answers
3questions
Github Skills (200)
hub10
parallel10
python10
json-schema10
image-processing10
testing10
projectile10
stylegan10
synthetic10
goose10
prometheus-exporter10
etl10
hyperparameter-optimization10
automation10
mlops10
Programming languages (16)
Github contributions (5)
jinnovation/interview-candidate-questions
Mar 2016 - Oct 2022
Contributions:15 commits, 15 pushes, 3 branches in 6 years 7 months
jinnovation/.emacs.d
Jan 2015 - Jan 2023
Contributions:638 commits, 375 pushes, 14 branches in 8 years 1 month
emacsconfigurationdotfilesemacs-lisp
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