Staff ML Engineer - Real-Time Fraud & Abuse

Block, Inc.; California (MO); Hybrid; USD 150,000 - 200,000; Full time

Job summary

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.

Qualifications

• 12+ years building and operating production ML systems.
• Deep expertise in payment fraud and identity integrity.
• Experience with high-stakes AI-assisted engineering tools.

Responsibilities

• Build and operate ML decisioning systems for payment fraud.
• Integrate signals into model serving and decision APIs.
• Develop feedback loops for triage and investigation support.

Skills

Production ML judgment

Fraud/risk expertise

Software and ML systems operation

Behavioral and event-stream signals integration

Tools

Python

Kubernetes

TensorFlow

Kafka

SQL

Job description

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.