Block, Inc. is seeking a Staff Applied Machine Learning Engineer focused on Fraud & Abuse in California. This role involves designing and operating ML decision systems to reduce risks such as payment fraud and identity abuse.
The ideal candidate possesses over 12 years of experience, deep expertise in risk domains, and proficiency in technologies like Python and TensorFlow. Join our mission to foster a financial system that is open to everyone.
#J-18808-LjbffrStaff ML Engineer - Real-Time Fraud & Abuse in california at Unknown Company
This position is listed as full time and onsite.