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Block · 2 weeks ago

Staff Machine Learning Engineer, Fraud & Abuse

United States

Full-time

Remote

Lead/Staff

$277K/yr - $415K/yr

12+ years exp

Block is a company focused on increasing access to the global economy through technology. The Staff Machine Learning Engineer will design and develop machine learning systems to protect Block's ecosystem from fraud and abuse, ensuring seamless user experiences for millions of customers and merchants.

Financial Services

H1B Sponsor Likely

Responsibilities

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

Qualification

Machine LearningData PipelinesPythonAWSTensorFlowPyTorchKubernetesMySQLDynamoDBJavaKotlinKafkaSparkCuriosityMentorshipCollaboration

Required

12+ years of experience in software development and demonstrated technical initiative and leadership on previous machine learning projects

A proven ability to shape how teams effectively adopt and evolve AI practices; driving adoption of AI-first workflows by coaching leaders, identifying scalable use cases, and embedding quality and accountability in team norms

Experience leading experimentation cycles and building a shared understanding of how AI drives business outcomes

Curiosity and a passion for Block's mission of economic empowerment

Experience helping your teammates grow through mentorship and providing constructive feedback

A desire to be hands-on and help invent the future of AI

The ability to work autonomously in the rapidly evolving world of ML