Ke

Ke Ma is an accomplished machine learning professional with extensive experience in developing and optimizing recommendation systems and machine learning algorithms. Currently serving as a Machine Learning Engineer at Meta since April 2025, Ke previously led the machine learning team at PalFish Global, focusing on user growth and fraud prevention through data mining techniques. Additional experience includes positions at Snap Inc. and Flip, where strategic initiatives resulted in improved user engagement and the successful deployment of an end-to-end recommender system. Earlier roles as a Software Engineer at Microsoft and data engineer internships at 雅虎 and 中国银行 provided foundational expertise in software and data engineering. Ke holds a Master's degree in Computer Science from the University of Chinese Academy of Sciences.