About the job
Director of AI/ML
Overview
Join us at Bayesian Health, an innovative startup dedicated to transforming healthcare into a proactive field by equipping healthcare professionals with real-time data to enhance patient outcomes.
As the leader of our AI/ML team, you will establish the technical vision, actively engage in critical modeling tasks, and cultivate a high-performing group that delivers groundbreaking ML solutions that save lives across hospitals nationwide.
About Us
At Bayesian Health, we strive to enhance patient outcomes by providing clinicians with vital insights for making informed decisions at the point of care. Our diverse team comprises clinicians, engineers, machine learning specialists, product designers, and performance improvement experts committed to enabling smarter, patient-focused care through cutting-edge data utilization.
Backed by leading tech and biotech investors such as Andreessen Horowitz, the American Medical Association's venture arm, Catalio Partners, and LifeForce Capital, we have received numerous accolades including recognition from Forbes AI Top 50, World Economic Forum Tech Pioneer, and Time Best Inventions. Our recent publication in Nature Medicine highlights the life-saving impact of our products.
Your Role
As the Director of AI/ML, you will craft the technical strategy for Bayesian Health’s machine learning initiatives, leading and mentoring a talented team of data scientists and ML engineers. You will collaborate closely with the Engineering team to design scalable data warehousing and ML infrastructure that supports rapid model development and dependable production deployment. In this dynamic role, you will also engage in hands-on work, including model prototyping, system performance evaluation, and troubleshooting production issues. This position is tailored for those who thrive in a startup environment, adept at turning clinical needs into technical roadmaps while delivering innovative healthcare solutions.
Key Responsibilities
Team Development: Assemble, mentor, and expand a premier AI/ML workforce, establishing technical standards, career advancement paths, and a culture centered on excellence and accountability.
Strategic Vision & Infrastructure: Outline and implement the ML roadmap while closely collaborating with Engineering to design data warehousing solutions and ML infrastructure.

