Staff Machine Learning Engineer, Fraud & Abuse

Remote Bay Area, CA, US

The Role

As a Staff Machine Learning Engineer in Fraud and Abuse ML Engineering, you will play a central role in designing, building, and evolving the machine learning systems that safeguard Block's ecosystem from fraud, abuse, and other malicious activity. You will architect and lead the development of high‑scale, real‑time ML systems that power our fraud decisioning across the Block network, protecting millions of customers and merchants while maintaining seamless user experiences.

You Will

• Build and maintain real‑time and batch data pipelines / APIs to support ML model inference at scale.
• Design elegant ML pipelines and services, prototype new approaches, and productionize solutions at scale.
• Collaborate with product and engineering teams to define data models and schemas for consistent and structured data flow.
• Integrate and enrich diverse internal and third‑party data sources to enhance our feature store and modeling capabilities.
• Ensure data quality and completeness through automated validation, monitoring, and alerting.
• Develop new triggers and event hooks that support enhanced risk evaluations and detections.
• Participate in SEV management by rapidly integrating new data, deploying new features, and implementing stopgap controls to mitigate risk.
• Apply ML and engineering best practices to shape how Block develops, tests, and maintains ML‑platform solutions.
• Support the integration of risk decisions and scores into downstream systems, ensuring they are consumed and acted upon correctly.

You Have

Technologies We Use and Teach

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal‑opportunity employer. We work hard to evaluate all employees and job applicants consistently, based solely on the core competencies required of the role at hand, and without regard to any legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.

Benefits

Use of AI in Our Hiring Process

We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.

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