Staff Machine Learning Engineer

The role

This person will build, productionize, and deploy ML models for a clinical AI product. They will write production-grade Python and SQL code to improve model timeliness and effectiveness.

What you will do

• Develop and tune innovative ML models and labeler systems.
• Develop models with production-grade python.
• Identify strategies for improving production ML-based systems.
• Write, debug, and deploy production-grade Python code.
• Build infrastructure that enables ML model development and deployment in production systems.

Required qualifications

• Ph.D. in a relevant field plus 3+ years relevant experience, or a relevant Master’s degree and 5+ years experience shipping ML based software products.
• Experience owning ML models from prototyping to production.
• Experience writing production-grade Python and SQL code to implement and evaluate ML models in production systems.
• Experience using MLOps tools such as SageMaker and MLFlow.

Nice to have

• Experience going 0-1 and shipping high impact AI/ML products.
• Experience building solutions within healthcare and/or familiarity working with messy health data.
• Experience working with enterprise customers, and the agility and responsiveness they require.
• Comfortable interpreting / leveraging state-of-the-art peer-reviewed methods or tools in designing your approach.
• Excitement for Bayesian’s mission and being a bar raiser so we can accelerate the pace at which we create value.

About the company

Bayesian Health is an early-stage startup on a mission to make healthcare proactive by empowering clinicians with real-time data. The company is funded by Andreessen Horowitz, American Medical Association’s venture arm, Catalio Partners, and LifeForce Capital.