Staff Machine Learning Engineer, Infrastructure

Develop and maintain infrastructure for machine learning applications.

• •We’re looking for a Staff Machine Learning Engineer to join our MLOps team and help build and maintain the infrastructure that supports our cutting-edge AI research and products.
• •In this role, you’ll develop tools and systems that accelerate language model R&D and serve those models to radiologists, ultimately improving clinical outcomes for patients.
• •Key Responsibilities 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 Requirements 8+ years of industry experience in ML Engineering in cloud-native environments In-depth knowledge of Python (required), Javascript/Typescript (nice to have), or other modern languages in the ML domain Strong experience with infrastructure and DevOps tools such as Kubernetes, Docker