Staff Machine Learning Engineer
Staff Machine Learning Engineer
Staff Machine Learning Engineer
Bayesian Health
The Staff Machine Learning Engineer at Bayesian Health will play a crucial role in developing and deploying machine learning models aimed at improving healthcare outcomes. The position combines elements of data science, applied science, and machine learning engineering, focusing on the end-to-end effectiveness of real-time clinical AI products. The company is an early-stage startup backed by prominent investors and recognized for its innovative contributions to healthcare technology.
Qualification
- Ph.D. in a relevant field plus 3+ years of relevant experience, or a Master's degree with 5+ years of experience in ML software products.
- Experience owning ML models from prototyping to production.
- Proficiency in writing production-grade Python code.
- Experience with SQL for implementing and evaluating ML models.
- Strong understanding of clinical use cases and state-of-the-art ML methods.
Responsibility
- Develop and tune innovative ML models and labeler systems based on clinical use cases.
- Productionize ML models using production-grade Python.
- Identify strategies for improving production ML-based systems.
- Write, debug, and deploy production-grade Python code for ML implementations.
- Build infrastructure for ML model development and deployment in production systems.
