Software Engineering Manager (Machine Learning)

Our healthcare system is the leading cause of personal bankruptcy in the U.S. Every year, over 50 million Americans suffer adverse financial consequences as a result of seeking care, from lower credit scores to garnished wages. The challenge is only getting worse, as high deductible health plans are the fastest growing plan design in the U.S.

Cedar’s mission is to leverage data science, smart product design and personalization to make healthcare more affordable and accessible. Today, healthcare providers still engage with its consumers in a “one-size-fits-all” approach; and Cedar is excited to leverage consumer best practices to deliver a superior experience.

The Role

We are in search of a Software Engineering Manager (Machine Learning) to lead development of the machine learning systems that underlie our foundational Personalization Engine within Cedar Pay. This role requires deep expertise in machine learning engineering (from ML modeling to MLOps) and a desire to drive impact through a combination of hands-on technical contributions and people management. Your work will serve as the "decisioning brain" for a vast array of product features that are developed by multiple Cedar squads. Your models will navigate thousands of unique patient variables, economic situations, healthcare-specific intricacies, and behavioral patterns, to ensure every patient journey is optimized for both financial resolution and a positive healthcare financial experience. The robust system that you build and scale will be the intelligent core that powers personalized experiences within Cedar Pay.

Key responsibilities

• ML System Ownership: Serve as key DRI (Directly Responsible Individual) for the ML System that powers the Personalization Engine. You will own the machine learning lifecycle end-to-end, ensuring system reliability, platform scalability, and model effectiveness, in partnership with the engineers on the team.
• Full-Stack ML Execution: