Hybrid AI Engineer for Healthcare Revenue Cycle

R1 RCM, Inc.; New York (NY); Hybrid; USD 140.000 - 350.000; Vollzeit

Benefits dieser Stelle

Top-of-market compensation bonus 10%

Flexible PTO

Health benefits

401(k) matching

Competitive benefits package

Zusammenfassung

R1 RCM Inc. is seeking a Machine Learning Engineer in New York City to accelerate AI-powered solutions for healthcare revenue cycle workflows.

You will build scalable AI systems, bridges research to production, and collaborate with researchers, engineers, and clinicians to deliver measurable business value. You will design end-to-end AI systems for retrieval and ranking, develop production-grade models, and help drive adoption across teams while aligning with business outcomes and patient care

Qualifikationen

• Proven track record building and deploying production AI/ML systems.
• Experience taking AI products from prototype to production at scale.
• Experience with ML lifecycle, evaluation, benchmarking, and experiment tracking.

Aufgaben

• Design and develop scalable AI systems for retrieval, ranking, categorization, and generative AI over large-scale unstructured healthcare data.
• Design, build, and operate AI/ML systems end-to-end: from problem framing to production deployment and ongoing improvement.
• Work backwards from business problems to define scalable, explainable AI architectures.
• Design ranking and triage models to route work between AI agents and humans.
• Partner with software engineers, product managers, clinicians, and operators to deliver measurable business value.

Kenntnisse

Strong AI/ML systems design

0→1 AI product scaling

ML lifecycle management

Retrieval/ranking/generative AI

Cross-functional collaboration

Jobbeschreibung

R1 RCM Inc. is seeking a Machine Learning Engineer in New York City to accelerate AI-powered solutions for healthcare revenue cycle workflows.

You will build scalable AI systems, bridges research to production, and collaborate with researchers, engineers, and clinicians to deliver measurable business value. You will design end-to-end AI systems for retrieval and ranking, develop production-grade models, and help drive adoption across teams while aligning with business outcomes and patient care