Remote Senior Machine Learning Engineer, Identity - ML Platform
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Description:
As a Senior Machine Learning Engineer in the Identity team at Cash App, you will be instrumental in utilizing machine learning techniques to combat fraudulent identities within the Cash ecosystem.
The primary focus is on strengthening the initial defense against malicious actors trying to circumvent Identity Verification controls while enhancing confidence in the authenticity of both new and existing customers.
The role involves leveraging machine learning to ensure equal access to financial services for all individuals, regardless of their background or financial history.
Specifically, you will work on developing risk-based experiences to increase access for legitimate customers, guiding them towards accounts that support their personal or business growth while mitigating risks.
Collaborate with Data Scientists, ML Modelers, and Software Engineers to build next-generation ML solutions and explore innovative directions to enhance performance and services.
Design and implement ML pipelines and services, prototype new approaches, and scale solutions for over 47 million active users.
Create a top-tier platform for training, hosting, and maintaining ML models, applying best practices to shape Cash App's ML-platform development, testing, and maintenance.
Contribute to shaping and executing the long-term Machine Learning strategy across Cash App.
Requirements:
Minimum 3 years of software development experience with demonstrated leadership on previous machine learning projects.
Passion for Cash App's mission of economic empowerment and curiosity to contribute to it.
Ability to mentor teammates, provide constructive feedback, and work autonomously in the evolving field of ML.
Desire to be hands-on and contribute to shaping the future of AI.
Experience or knowledge in ML is beneficial but not mandatory; solid software engineering skills are valued, and training in ML will be provided.
Proficiency in Python, Java, Kotlin, Tensorflow, PyTorch, AWS, GCP, Kubernetes, MySQL, DynamoDB, Kafka, Apache Beam, and Google DataFlow.
Benefits:
Healthcare coverage including Medical, Vision, and Dental insurance.
Health Savings Account, Flexible Spending Account, and Retirement Plans with company match.
Employee Stock Purchase Program, wellness programs, and access to mental health resources.
Paid parental and caregiving leave, paid time off, and sick leave.
Learning and Development resources, paid life insurance, AD&D, and disability benefits.
Eligibility to participate in equity plans and potential sign-on bonus.
Inclusive workplace culture with equal opportunity employment practices.
Fair and inclusive interview experience with accommodations for disabled applicants.
Commitment to diversity and inclusion in the workplace.
Consideration of qualified applicants with criminal histories in line with the San Francisco Fair Chance Ordinance.