Xu Jing
Staff Data Scientist - Ads
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolXu Jing is a Staff Data Scientist based in San Jose with six years of experience building data-driven solutions across ads, platform integrity, and financial services. Having led data science teams at TikTok on high-stakes areas like youth protection, misinformation, and real-time data products, she combines product-minded leadership with rigorous risk and compliance awareness. At Citi she progressed through analytics and risk roles, delivering CCAR modeling and loss forecasting before moving into scalable data product design. Now at Meta Ads, she applies that blend of modeling, governance, and systems thinking to optimize ad outcomes at scale. An active contributor to open-source ML tooling, she helped integrate the challenging ANLI dataset into Facebook Research’s ParlAI framework, evidencing a hands-on ability to bridge research datasets and production platforms. Her background in public policy and international affairs informs a pragmatic, interdisciplinary approach to operationalizing complex, regulated data problems.
6 years of coding experience
12 years of employment as a software developer
Bachelor of Laws (LL.B.) International Affairs Concentrated on International Economics, Bachelor of Laws (LL.B.) International Affairs Concentrated on International Economics at Beijing Normal UniversityMaster Public Policy and Management Concentrated on Financial Analysis and Data Management, Master Public Policy and Management Concentrated on Financial Analysis and Data Management at Carnegie Mellon University
English, Chinese
Github Skills (8)
machine-learning10
nlp10
python10
data-integration10
natural-language-processing10
data-set10
datasets10
dialogue-systems9
Programming languages (3)
Github contributions (5)
facebookresearch/ParlAI
Mar 2020 - Dec 2022
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Role in this project:
ML Engineer
ML EngineerContributions:199 reviews, 62 commits, 100 PRs in 2 years 8 months
Contributions summary:Xu significantly contributed to integrating the ANLI dataset into the ParlAI framework, a dialogue AI platform. They added the ANLI dataset and implemented necessary modifications to support the dataset's integration. The user refactored the code, formatted the code, and implemented code that enables compatibility among all NLI tasks.
nlpdeep-learningdatasetmachine-learningtraining
jxmsML/jxmsML.github.io
Feb 2025 - Mar 2025
Contributions:13 PRs, 15 pushes, 3 branches in 4 days
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