Remote Senior Machine Learning Engineer - Credit Risk

Description:

• The Senior Machine Learning Engineer will be part of the Underwriting & Credit organization, focusing on redefining credit and liquidity through accessible credit solutions.
• The role involves working on the Payment Recovery team to build systems and integrate ML solutions for installment attempts on payment products like BNPL and Pay Monthly.
• Responsibilities include designing, building, and managing distributed services and pipelines for the payment recovery domain.
• The engineer will lead impactful projects, ensure high code quality, collaborate with cross-functional teams, and creatively solve technical problems at scale.
• The position offers the opportunity to work on critical projects directly impacting the business's success and contribute to the growth of development capabilities through mentoring.

Requirements:

• 8+ years of backend software development experience in languages like Java, Kotlin, Go, or Python.
• Experience with technical leadership, continuous learning of new technologies, and executing with globally distributed cross-functional teams.
• Strong testing background, passion for Cash App's mission, and familiarity with technologies like Kafka, Redis, Cassandra, or Temporal.
• Interest in advancing Cash App's vision of economic empowerment and experience with ML models is a bonus.
• Proficiency in technologies such as Go, Java, Kotlin, Python, Kubernetes, AWS, and event-driven microservice architecture.

Benefits:

• Healthcare coverage including medical, vision, and dental insurance.
• Retirement plans with company match, Employee Stock Purchase Program, and wellness programs.
• Paid parental and caregiving leave, paid time off, and sick leave.
• Learning and development resources, paid life insurance, AD&D, and disability benefits.
• Eligibility for Block's equity plan, potential sign-on bonus, and commission plan for sales roles.
• Inclusive workplace values, equal opportunity employer, and commitment to fair and inclusive interview experiences.
• Reasonable accommodations for disabled applicants, fair chance employment practices, and criminal background check for roles involving sensitive data.