Staff Machine Learning Engineer

About the Company

Bayesian Health is an early-stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives. Funded by top-tier investors like Andreessen Horowitz, we focus on enabling smarter, patient-specific care delivery through the power of data.

Responsibilities

• Model Prototyping: Develop and tune innovative ML models and labeler systems based on clinical use cases and state-of-the-art methods.
• Productionizing: Develop models using production-grade Python.
• Deploying: Identify strategies for improving production ML-based systems and write, debug, and deploy production-grade Python code.
• MLOps: Build infrastructure that enables ML model development and deployment in production systems.

Requirements

• Ph.D. in a relevant field plus 3+ years of relevant experience, or a Master’s degree with 5+ years of 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 models.
• Experience using MLOps tools such as SageMaker and MLFlow.

Preferred Qualifications

• Experience going 0-1 and shipping high-impact AI/ML products.
• Experience building solutions within healthcare or working with messy health data.
• Experience working with enterprise customers.
• Ability to interpret and leverage state-of-the-art peer-reviewed methods.