Jie Bing
AI Engineer & Researcher - Post Training at xAI
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolJie Bing is an AI engineer and researcher with a decade of experience building and optimizing large language models and production ML systems, currently focused on post-training techniques at xAI after leading GenAI efforts at LinkedIn. He led development of LinkedIn’s domain-adapted LLM EON—driving up to 5% quality gains and 6× cost efficiency over top-tier baselines—using methods like reasoning distillation, multi-task tuning, and LLM-as-a-Judge evaluation. Jie combines deep research chops (CIIR/UMass) with production impact, having architected company-wide experimentation and metrics pipelines at LinkedIn and an A/B framework and cost-saving infrastructure migrations at Snapchat. His practical toolkit spans supervised fine-tuning, reinforcement learning, synthetic data generation, and rigorous model evaluation, and he’s now applying those skills to post-training optimizations for Grok. Based in Mountain View, he’s as comfortable iterating on training pipelines as he is designing evaluation regimes that achieve high human agreement, a lesser-noted strength that boosts real-world model reliability.
10 years of coding experience
6 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at University of Massachusetts Amherst
English, Chinese, Japanese
Github Skills (5)
axios3
vuex3
vue-router2
flutter2
vue2
Programming languages (2)
Github contributions (5)
mutounaodai/Greendao
Oct 2016 - Jun 2017
Contributions:5 commits, 4 pushes, 1 branch in 7 months
mutounaodai/mutounaodai.github.io
Jul 2017 - Jan 2018
Contributions:7 pushes, 1 branch, 1 comment in 5 months
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