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
Requirements
Ph.D. in a relevant field plus 3+ years experience shipping ML based software products
Experience owning your ML models from prototyping to production, especially real-time algorithms that update dynamically across time
Experience writing production-grade Python and SQL code to implement and evaluate ML models in production systems
Track record of using statistics and performance metrics to compare end-to-end ML and product performance
Benefits
Health insurance
Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningPythonSQLreal-time algorithmsmodel performance metricsdebuggingproduction-grade codestatistical analysisML model prototypingML model deployment