Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Principal Machine Learning Engineer based in the United States.
The Senior Principal Machine Learning Engineer will lead the design and delivery of advanced machine learning and AI systems that transform complex healthcare data into measurable business and operational outcomes.
This role combines applied research, large-scale production engineering, and technical leadership to solve high-impact challenges involving claims, clinical data, and risk management.
The position will define AI/ML strategy, build scalable solutions, and establish engineering practices that improve accuracy, auditability, and decision-making.
Working across engineering, product, clinical, and analytics teams, this leader will translate ambiguous challenges into reliable, production-ready systems.
The ideal candidate brings deep expertise in machine learning, experimentation, and AI architecture while influencing technical direction across the organization.
This is an opportunity to shape next-generation AI capabilities in a highly regulated environment where precision, innovation, and measurable impact are critical.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Principal Machine Learning Engineer based in the United States.
The Senior Principal Machine Learning Engineer will lead the design and delivery of advanced machine learning and AI systems that transform complex healthcare data into measurable business and operational outcomes.
This role combines applied research, large-scale production engineering, and technical leadership to solve high-impact challenges involving claims, clinical data, and risk management.
The position will define AI/ML strategy, build scalable solutions, and establish engineering practices that improve accuracy, auditability, and decision-making.
Working across engineering, product, clinical, and analytics teams, this leader will translate ambiguous challenges into reliable, production-ready systems.
The ideal candidate brings deep expertise in machine learning, experimentation, and AI architecture while influencing technical direction across the organization.
This is an opportunity to shape next-generation AI capabilities in a highly regulated environment where precision, innovation, and measurable impact are critical.
