Staff Machine Learning Engineer, Financial Crimes, Cash App

Cash App, a subsidiary of Block, is a global technology company focused on financial services. The role involves leveraging Generative AI and Machine Learning to detect and report illegal activities on the platform while collaborating with various teams to enhance user safety and optimize operations.

Responsibilities:

• Design, build, integrate and enhance batch inference services and tooling that support our LLM Copilot and Autopilot use cases
• Unblock the modelers on the team with the infrastructure/tools necessary for development & production work including solving MLOps, data access, security and scalability issues
• Develop prototypes and partner with modelers to encourage adoption of new tools and technologies and proactively identify and plan for future needs of our modelers
• Lead by example by applying AI/ML and engineering best practices
• Partner closely with Financial Crimes, AI/ML Platform and Product Engineering teams across Cash App and Block

Requirements:

• 5+ years of combined Machine Learning and Engineering industry experience (full stack ML experience is strongly preferred)
• A Masters or advanced degree in computer science, data science, operations research, applied math, stats, physics, or a related technical field
• Familiarity with Linux/OS X command line, version control software (git), and general 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
• Hosted models for inference on public clouds like GCP, AWS and/or built micro-services to facilitate event based triggering, feature generation, model inference and downstream actioning