Job Details

Senior Machine Learning Engineer (Modeling), Financial Crimes

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers.

Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We've been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates.

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.

You Will

• 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
• Have a significant impact on influencing team culture and direction

You Have

• 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
• Excellent written and oral communication skills, both technical and non-technical, and are comfortable working with a cross-functional, globally distributed team
• 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

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 an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class.

While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate.

Block takes a market-based approach to pay, and pay may vary depending on your location. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions.

Zone A: $228,700 USD - $343,100 USD

Zone B: $217,300 USD - $325,900 USD

Zone C: $205,900 USD - $308,900 USD

Zone D: $194,500 USD - $291,700 USD