Staff Machine Learning Engineer

About the role

Bayesian Health is seeking a Staff Machine Learning Engineer to own the end-to-end effectiveness of real-time models in a clinical AI product. This role involves building, productionizing, and maintaining models to empower clinicians with data-driven insights. You will work across the full stack of data science, from prototyping to deployment in a live clinical environment.

Responsibilities

• 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.
• Write production-grade Python code for model development and implementation.
• Identify strategies for improving production ML-based systems and deploy code to implement those strategies.
• Build infrastructure that enables ML model development and deployment in production systems.

Required skills

• Python
• SQL
• MLOps
• SageMaker
• MLFlow

Nice to have

• Healthcare data
• AI product development
• Enterprise customer experience

Qualifications

• Ph.D. in a relevant field plus 3+ years relevant experience
• Master’s degree and 5+ years experience shipping ML based software products

About the Company

Bayesian Health is an early-stage startup focused on making healthcare proactive by empowering clinicians with real-time data. The company is backed by top-tier investors and has been recognized by Forbes, the World Economic Forum, and Time for its contributions to AI in healthcare.