Senior Machine Learning Engineer, Financial Crimes

Block

3d•Remote

About The Position

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. The Role The CashApp Financial Crimes Machine Learning team is responsible for detecting, preventing, and reporting illegal activity across all markets in which Block operates. We work globally with partners in business, engineering, counsel and product to ensure we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform. We leverage Machine Learning as a necessary part of our toolkit to fulfill our mission. We employ scalable solutions to monitor billions of dollars in transactions. We uncover and put an end to money laundering, terrorist financing, and other illegal activities before they impact our users. We are looking for senior MLEs who want to solve critical business problems using all tools necessary. (Work from anywhere: This role can be performed from any location in the United States and Canada)

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
Technologies We Use and Teach Python (NumPy, Pandas, Scikit learn, PyTorch, etc.) with occasional Kotlin and Java Snowflake, GCP, AWS, and orchestration tools such as Prefect and Airflow Transformer models (BERT, LLMs, etc.)

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