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Senior Machine Learning Engineer, Financial Crimes

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Cash App

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Location:
United States , Bay Area

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

194500.00 - 343100.00 USD / Year
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Job Description:

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.

Job Responsibility:

  • 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
What we offer:
  • Remote work
  • medical insurance
  • flexible time off
  • retirement savings plans
  • modern family planning

Additional Information:

Job Posted:
January 26, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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