Remote Senior Machine Learning Engineer, Financial Crimes (Cash App)

Description:

• The Senior Machine Learning Engineer will be part of the Financial Crimes Technology team at Cash App, responsible for detecting and reporting illegal and suspicious activity.
• The role involves using Machine Learning and Generative AI to monitor transactions, detect suspicious activity, and improve agent workflow tools.
• Responsibilities include designing, building, and enhancing batch and real-time inference services, unblocking access to necessary tools for modelers, and developing prototypes to encourage adoption of new technologies.
• The position reports to the Data Science and ML Modeling Manager and involves driving strategic roadmaps and priorities by collaborating with cross-functional stakeholders.
• The successful candidate will join a new and growing team, influencing team culture and making a significant impact.

Requirements:

• 4+ years of combined Machine Learning and Engineering industry experience with full stack ML experience.
• A Bachelor's degree in computer science, data science, operations research, applied math, stats, physics, or related technical field.
• Familiarity with Linux/OS X command line, version control software (git), and software development principles with a machine learning software development life-cycle orientation.
• Experience working with product, business, and engineering to prioritize, scope, design, and deploy ML models.
• Familiarity with Python computing stack, MySQL, Snowflake, Airflow, Java/Go.
• Experience in hosting models for inference on public clouds like GCP, AWS, and/or building micro-services for event-based triggering, feature generation, model inference, and downstream actioning.

Benefits:

• Healthcare coverage (Medical, Vision, and Dental insurance).
• Health Savings Account and Flexible Spending Account.
• Retirement Plans including company match.
• Employee Stock Purchase Program.
• Wellness programs, including access to mental health, financial planners, and a monthly wellness allowance.
• Paid parental and caregiving leave.
• Paid time off (including 12 paid holidays) and paid sick leave.
• Learning and Development resources.
• Paid Life insurance, AD&D, and disability benefits.