Staff AI Engineer, Financial Crimes (CashApp)

Company Description

Founded in 2013, Cash App started with a mission to simplify peer-to-peer payments. Today, it has evolved into a comprehensive financial ecosystem, encompassing products like Afterpay/Clearpay, providing users with innovative ways to send, spend, invest, borrow, and save money. Serving 47 million monthly active customers, Cash App aims to redefine the world’s financial relationships, making money relatable, instantly available, and universally accessible.

Cash App operates with thousands of employees worldwide, both in-office and remotely, fostering a culture centered around innovation, collaboration, and impact. Our distributed team approach ensures that our employees can thrive creatively and productively, regardless of their location. Learn more about our global offices, employee benefits, and career opportunities at .

Job Description

The Financial Crimes Technology team at Cash App aims to detect and report illegal and suspicious activities on the platform. Collaborating globally with our Product, Counsel, and Engineering teams, we strive to offer a safe user experience while minimizing or eliminating bad activities.

We are leveraging cutting-edge technologies like Generative AI and Machine Learning to monitor hundreds of billions of dollars in transactions across both traditional payment and blockchain networks. Our machine learning systems identify and flag suspicious activities, such as money laundering and terms of service violations, for review. Additionally, we proactively block inappropriate payments in real-time. By utilizing AI, we're enhancing agent workflows and case review tools, boosting productivity, and enabling quicker, more informed decision-making.

As a Staff AI Engineer on this team, you will have a significant opportunity to innovate and optimize Financial Crimes Operations at Cash App. Although this role is an Individual Contributor (IC), it encompasses substantial leadership responsibilities, including owning and driving strategic roadmaps and collaborating with relevant stakeholders.

Responsibilities:

• Design, build, integrate, and enhance batch inference services and tools supporting LLM Copilot and Autopilot use cases.
• Facilitate infrastructure/tools development for the team's modelers, solving issues related to MLOps, data access, security, and scalability.
• Develop prototypes and collaborate with modelers to encourage the adoption of new tools and technologies.
• Lead by example in applying AI/ML and engineering best practices.
• Partner closely with Financial Crimes, AI/ML Platform, and Product Engineering teams across Cash App and Block.

Qualifications:

• 5+ years of combined experience in Machine Learning and Engineering, preferably with full-stack ML experience.
• A Master’s or advanced degree in computer science, data science, operations research, applied math, statistics, physics, or a related field.
• Proficiency with Linux/OS X command line, version control software (git), and software development principles, particularly within a machine learning lifecycle.
• Experience collaborating with product, business, and engineering teams to prioritize, design, and deploy ML models.
• Familiarity with the Python computing stack, MySQL, Snowflake, Airflow, Java/Go.
• Experience with hosting models for inference on public clouds such as GCP or AWS, and building micro-services for event-based triggering, feature generation, and downstream actioning.

Additional Information: Block is the company name. The job title is Staff AI Engineer, Financial Crimes (CashApp).

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