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Description:
The Senior Machine Learning Engineer will be part of the Underwriting & Credit organization at Cash App, focusing on developing credit risk management systems for various payment products.
Responsibilities include designing, building, and managing distributed services and pipelines for Underwriting & Credit.
The role involves leading multi-person projects, ensuring high code quality, collaborating with cross-functional teams, and creatively solving technical problems at scale.
The engineer will work closely with ML Modelers and Decision Scientists to integrate and productize credit risk models.
The position offers the opportunity to contribute to the growth of development capabilities through mentoring and supporting fellow engineers.
Requirements:
8+ years of backend software development experience in languages like Java, Python, Kotlin, Ruby, Go, Swift, C++.
Enthusiasm for solving business problems with technology and taking ownership of end-to-end solutions.
Passion for continuous learning of new technologies, frameworks, and services.
Ability to deliver with globally distributed cross-functional teams and prioritize testing with automated testing frameworks.
Experience with ML models and common technologies like Kafka, Redis, Cassandra is a bonus.
Keen interest in advancing Cash App's vision of building for economic empowerment.
Benefits:
Healthcare coverage (Medical, Vision, and Dental insurance).
Health Savings Account, Flexible Spending Account, and Retirement Plans with company match.
Employee Stock Purchase Program, wellness programs, and paid parental/caregiving leave.
Paid time off, sick leave, and access to learning and development resources.
Paid Life insurance, AD&D, and disability benefits.
Eligibility to participate in Block's equity plan and may be eligible for a sign-on bonus.
Inclusive workplace values with equal opportunity employment and fair interview experience.
Commitment to providing reasonable accommodations to disabled applicants throughout the recruitment process.
Opportunity to work in a global technology company focused on financial services with various tools and services to access the economy.