Machine Learning Engineer • Staff

Who you are

With over 12 years of experience in software development, you have a strong background in building and deploying machine learning systems. You are skilled in designing elegant ML pipelines and services, and you have a proven track record of productionizing solutions at scale. Your expertise in Python and AWS allows you to create robust data pipelines and APIs that support ML model inference effectively. You understand the importance of data quality and completeness, and you have experience implementing automated validation and monitoring systems to ensure this.

You thrive in collaborative environments, working closely with product and engineering teams to define data models and schemas that facilitate consistent and structured data flow. Your ability to integrate diverse internal and third-party data sources enhances feature store and modeling capabilities, making you a valuable asset to any team. You are familiar with best practices in ML and engineering, and you are committed to shaping how your organization develops, tests, and maintains ML-platform solutions.

Desirable

Experience with real-time and batch data processing is a plus, as is familiarity with tools like Kafka and Elasticsearch. You have a keen interest in risk management and are adept at integrating risk decisions into downstream systems. Your knowledge of Docker and Kubernetes helps you manage containerized applications efficiently, ensuring seamless deployment and scaling of ML solutions.

What you'll do

As a Staff Machine Learning Engineer at Block, you will play a central role in safeguarding the ecosystem from fraud and abuse. You will architect and lead the development of high-scale, real-time ML systems that power fraud decisioning across the Block network. Your responsibilities will include building and maintaining real-time and batch data pipelines and APIs to support ML model inference at scale. You will design elegant ML pipelines and services, prototype new approaches, and productionize solutions effectively.

Collaboration is key in this role, as you will work closely with product and engineering teams to define data models and schemas for consistent data flow. You will integrate and enrich diverse internal and third-party data sources to enhance the feature store and modeling capabilities. Ensuring data quality and completeness through automated validation, monitoring, and alerting will be a critical part of your responsibilities.

You will also develop new triggers and event hooks that support enhanced risk evaluations and detections. Your participation in SEV management will involve rapidly integrating new data, deploying new features, and implementing stopgap controls to mitigate risk. By applying ML and engineering best practices, you will help shape how Block develops, tests, and maintains its ML-platform solutions.

What we offer

At Block, you will be part of a mission-driven company that is transforming the way customers manage their spending and financial activities. You will have the opportunity to work on innovative projects that have a significant impact on millions of customers and merchants. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in building a financial system that is open to everyone.