Jason Dong

Research Scientist at Meta

Seattle, Washington, United States
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
Jason Dong is a software engineer with nine years of experience building ML-driven systems at scale, currently applying reinforcement learning and parameter-efficient fine-tuning to ads ranking at Meta. He has led engineering efforts at Riot Games and SmartNews to accelerate RL training, curriculum learning, model quantization, and large-scale ranking systems, and has driven measurable product improvements in local news and push engagement. His background spans applied research (Microsoft/MSR), stats and IR training at the University of Washington, and hands-on ML infra coordination for embedding and model serving. Jason combines research instincts with production engineering, often acting as the bridge between algorithmic innovation and deployable systems. He’s comfortable “pretending to be an economist” when optimizing demand or ad delivery and has a knack for squeezing model efficiency gains via techniques like LoRA and lightweight ranking. Based in Seattle, he ships practical solutions that marry RL, vision-language interests, and large embedding modules.
code9 years of coding experience
job5 years of employment as a software developer
bookPhD Student, Statistical Learning & Information Retrieval, PhD Student, Statistical Learning & Information Retrieval at University of Washington
languagesChinese, English, Japanese
github-logo-circle

Github Skills (16)

conda8
kernel-density8
operating-system8
to-do8
package-management8
python8
r-package7
r5
statistics5
spatial4
deep-learning3
h2o3
machine-learning3
cdc3
data-science3

Programming languages (4)

RHTMLJupyter NotebookPython

Github contributions (5)

github-logo-circle
zdong1/API-Crime-Mapping

Mar 2017 - Nov 2017

Contributions:43 commits, 2 PRs, 42 pushes in 8 months
r-packagestatisticsspatialto-dorstats
zdong1/CDC

Oct 2017 - May 2019

Swiss CDC Project Repository: Analyze and Predict human mobility patterns using kernel density ranking methods, and analyze the spatial-temporal trends of the activity spaces of human beings.
Contributions:5 releases, 119 commits, 4 PRs in 1 year 7 months
cdckernel-density
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial