Jingxiang Chen

About Jingxiang Chen

Solid background in statistical and machine learning modelsProficient in applying machine learning tools to solve business problemsExperienced in big data processing and feature engineering7 years industrial experience in data science10 years training in Statistics/Machine learning

Experience

1. Machine Learning Engineer

   Meta

   Jun 2022 — Present · Bellevue, WA, US

   Generative AIDesigned and built GenAI models to power Meta AI Assistant across mobile and desktop platforms. Key areas of focus include- Planner LLM: Advanced plugin/tool usage- Agentic LLM: Powerful end-to-end augmented responses with tool usage (e.g, web search, first-party entity and content search, image generation, etc.)- Reasoning: Improving decision-making, logical consistency, and overall quality in AI responses- Masterherd Post-Training: Optimized LLM SFT & RLHF techniques.Modern Recommendation Systems- Developed AI-powered search and recommendation systems leveraging multi-modal inputs for enhanced personalization and user understanding- Built DL-based Advanced Retrieval and Ranking Models, to drive user engagement growth on Facebook and Instagram feeds and Reels.

Education

• University of Iowa

  Master of Science (M.S.), Statistics

  2010 — 2012

• Renmin University of China

  Bachelor of Science (BS), Actuarial Science

  2006 — 2010

• The University of North Carolina at Chapel Hill

  Doctor of Philosophy (Ph.D.), Biostatistics

  2012 — 2017

Skills

• Statistical Modeling
• Data Mining
• Statistical Consulting
• Experimental Design
• Survival Analysis
• Time Series Analysis
• Categorical Data Analysis
• Non-Parametric
• Gwas
• R
• Sas
• Java
• C++
• Matlab
• Vba
• Biostatistics
• Sas Programming
• Data Analysis
• Latex
• Research
• Statistics
• Sql
• Python
• Algorithms
• Machine Learning