Senior Machine Learning Engineer, Financial Crimes

Block is a company focused on economic empowerment, and they are seeking a Senior Machine Learning Engineer to join their Financial Crimes team. This role involves designing and deploying machine learning models to detect and prevent financial crimes, collaborating with stakeholders to ensure effective data use, and leading best practices in machine learning and engineering.

Responsibilities:

• Design, develop, and deploy machine learning models to detect and prevent financial crimes such as money laundering, human exploitation, and terrorist financing
• Collaborate closely with stakeholders, business partners, and product engineering teams to ensure that data can be leveraged effectively to build efficient solutions within our regulatory program
• Produce and maintain thorough documentation of our program that can withstand regulatory scrutiny
• Proactively identify new opportunities and future needs of our ML teams
• Lead by example by applying ML and engineering best practices
• Stay current on ML developments in the field, foster an environment of continuous learning, and apply new learnings when applicable

Requirements:

• 6+ years of machine learning experience with a focus on modeling and deployment
• A degree (preferable graduate level) in Computer Science, Engineering, Statistics, Physics, Applied Math or a related technical field
• Expertise in at least one area of the following areas: Natural Language Processing, Graph Neural Networks, Reinforcement Learning, or model explainability
• Prior experience working with product, engineering, and business to prioritize, scope, design, and deploy ML tooling and infrastructure at scale
• An ability to clearly convey both technical and non-technical concepts while collaborating with cross-functional, globally distributed teams
• Natural curiosity and desire to grow and help shape all aspects of our team