• Architect the infrastructure that supports our machine learning applications, services, and workflows • Architect and maintain our ML platform that supports continuous integration, continuous delivery, and continuous training for our machine learning models • Develop cloud-native services and serverless architectures to build scalable and resilient systems • Partner with data scientists to design the data pipeline that enable various machine learning models in production • Write code that meets our internal standards for security, style, maintainability, and best practices for a high-scale HIPAA web environment • Design, deploy, and maintain the full ML platform stack including monitoring and observability, data analytics, backend integration with customer-facing products, and the full model R&D lifecycle • Work with Product Management, Research, and Engineering to iterate on new features and address inefficiencies across our AI/ML infrastructure