Machine Learning Engineer

• Design, implement, and maintain the infrastructure that supports our machine learning applications, services, and workflows
• Build, maintain, and improve our ML platform that supports continuous integration, continuous delivery, and continuous training for our machine learning models
• Develop fullstack, cloud-native services and serverless architectures to build scalable and resilient systems
• Plan, design, and develop components in the data pipeline to enable various machine learning models in production
• Write code that meets 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
• Connect language models to customer-facing products and serve those models to radiologists
• Backend-heavy role that includes fullstack development in Python and Typescript

Senior Machine Learning Engineer, Infrastructure

Machine Learning Engineer – User Understanding

Senior Manager, Global Development – AI Engineer

Director, AI Engineering – Operations

Senior Audio AI Engineer

Senior Software Engineer – AI Infrastructure