Core
Building early-phase, high-impact ML systems for an AI-native Healthcare Revenue Operating System that automates medical coding, billing, and follow-up.
Role type
Senior IC ML Engineer (Healthcare AI)
Builds
Scalable AI systems for retrieval, ranking, categorization, and generative AI over large-scale unstructured healthcare data.
Domain
Healthcare / Medical Revenue Cycle Management
Deliverable
production ML models
Required skills
Software engineering, ML system design, experiment tracking, model deployment, evaluation metrics, system architecture, data flywheel design, mentorship
Preferred skills
None stated
Technologies
None stated
Responsibilities
Build training and inference infrastructure; Design and develop scalable AI systems for retrieval, ranking, categorization, and generative AI; Design, build, and operate AI/ML Systems end-to-end; Work backwards from complex business problems to define AI abstractions and system architectures; Bring rigor to scientific decisions by defining evaluation datasets, metrics, and validation strategies; Design ranking and triage models for routing work between AI agents and human operators; Establish feedback loops and data flywheels for continuous model improvement; Partner with software engineers, product managers, clinicians, and operators; Prototype and scale new AI capabilities from 0 to 1; Mentor other AI/ML engineers
Seniority
Mid-level to Staff