• Develop and tune innovative, new ML models and labeler systems based on deep understanding of clinical use cases and state-of-the-art ML methods • Identify strategies for improving our production ML-based systems, and write, debug, and deploy production-grade Python code to implement those strategies • Understand model performance and metrics, and present this to technical and non-technical users, both internally and externally