Staff Machine Learning Engineer
Bayesian Health, Inc.almost 2 years ago
Remote, United StatesStaff+
Responsibilities
- Develop and tune machine learning models and labeler systems based on clinical use cases and state-of-the-art methods.
- Productionize models using production-grade Python.
- Identify improvements to production ML systems and write, debug, and deploy Python code to implement them.
- Build MLOps infrastructure for machine learning model development and production deployment.
- Trace patient data through AWS services and improve the timeliness and real-world effectiveness of model predictions.
Requirements
- A relevant Ph.D. plus 3+ years of relevant experience, or a relevant master’s degree plus 5+ years of experience shipping ML-based software products.
- Experience owning machine learning models from prototyping through production.
- Experience writing production-grade Python and SQL to implement and evaluate ML models in production systems.
- Experience using MLOps tools such as SageMaker and MLFlow.
- Preferred: experience shipping high-impact AI/ML products from 0 to 1.
- Preferred: experience building healthcare solutions or working with messy health data.
- Preferred: experience working with enterprise customers.
- Preferred: comfort interpreting and leveraging state-of-the-art peer-reviewed methods or tools.
Categories
About Bayesian Health, Inc.
Bayesian Health builds a real-time clinical intelligence platform that integrates with EHRs to detect patient deterioration and surface actionable guidance for clinicians. It sells enterprise software and services to hospitals and health systems, focusing on clinical decision support and workflow integration. The company is privately held and headquartered in New York City, and its platform emphasizes EMR interoperability and deployment across key inpatient use cases.