Jason Dong
Software Engineer at Meta
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolJason 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.
9 years of coding experience
4 years of employment as a software developer
PhD Student Statistical Learning & Information Retrieval, PhD Student Statistical Learning & Information Retrieval at University of Washington
Chinese, English, Japanese
Github Skills (26)
os-agnostic9
python8
kernel-density8
meta-analysis8
conda8
linux8
ecosystem8
package-management8
predict8
r-package7
hierarchical7
temporal7
to-do7
tsne7
package-manager6
Programming languages (2)
Github contributions (5)
zdong1/API-Crime-Mapping
Mar 2017 - Nov 2017
Contributions:43 commits, 2 PRs, 42 pushes in 8 months
r-packagestatisticsspatialto-dorstats
zdong1/Python_Scientific_Computing
Jan 2017 - Oct 2018
Contributions:1 release, 73 commits, 70 pushes in 1 year 9 months
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