Staff ML Engineer, Fraud Data - Remote

A leading financial technology company based in San Francisco is seeking a Staff Machine Learning Engineer for their Fraud Data team. This role involves designing and building scalable machine learning infrastructure that supports advanced fraud detection products. The ideal candidate will have over 8 years of experience in engineering, with significant exposure to production ML systems. Additionally, you'll mentor other engineers while collaborating with cross-functional teams to develop impactful solutions. We are open to remote candidates. #J-18808-Ljbffr