Jay Baxter

Jay Baxter is a Senior Staff Machine Learning Engineer currently leading the Community Notes Machine Learning team at X (formerly Twitter).12 He has played a significant role in developing and enhancing the Community Notes feature, which aims to improve the quality of information on the platform through crowdsourced fact-checking.1

Background and Education

Baxter holds a degree in computer science and AI from MIT, where he developed BayesDB.1 This educational background has provided him with a strong foundation in machine learning and artificial intelligence.

Career at Twitter/X

Previous Role:: Before his current position, Baxter worked on Twitter's Cortex Applied Machine Learning Research team, focusing on real-time large-scale recommender systems.12

Current Role:: As the lead of the Community Notes Machine Learning team, Baxter is responsible for developing and implementing machine learning algorithms to enhance the effectiveness of the Community Notes feature.13

Expertise and Contributions

Baxter's work has been instrumental in improving the Community Notes system, particularly in developing bridging-based ranking algorithms. These algorithms help ensure that the system is resistant to manipulation and brigading, allowing for a more balanced and accurate representation of user-generated fact-checks.1

Public Engagement

Baxter is active in sharing insights about his work and the Community Notes system. He has given presentations on the technical aspects of the system, including how bridging-based ranking works and its importance in maintaining the integrity of the crowdsourced fact-checking process.14

Jay Baxter's LinkedIn username is jaybaxter, as mentioned in the query.