Hybrid ML Engineer - Scalable AI for Healthcare

R1 RCM Holdco Inc.; New York (NY); Hybrid; USD 140,000 - 350,000; Full time

Benefits offered by this job

Top-of-market compensation

Flexible PTO

Comprehensive health benefits

401(k) matching

Performance bonus

Job summary

R1 RCM Inc. is hiring a Machine Learning Engineer in New York City, with hybrid onsite work. You will accelerate AI-powered solutions, deploying scalable AI systems and collaborating with researchers, engineers, and clinicians to solve complex healthcare revenue cycle challenges.

The role emphasizes applied AI, production-scale ML, and translating ambiguous problems into measurable business outcomes. Competitive benefits accompany top-tier compensation.

Qualifications

• Strong experience designing, building, and deploying production AI/ML systems and services.
• Experience building and scaling 0→1 AI products from prototype to production.
• Experience with model evaluation, benchmarking, experiment tracking, validation methodologies, and ML lifecycle management.
• Experience developing large-scale AI applications involving retrieval systems, ranking models, generative AI, or other advanced ML tech.

Responsibilities

• Design scalable AI systems for retrieval, ranking, categorization, and generative AI over large healthcare data.
• Build end-to-end AI/ML systems from problem framing to deployment and improvement.
• Define AI abstractions and architectures that are scalable and explainable.
• Design ranking/triage models for routing between AI agents and humans.
• Collaborate with software engineers, product managers, clinicians, and operators to deliver measurable business value.

Skills

Production AI/ML systems

AI/ML infrastructure

Model evaluation & lifecycle

Collaboration across teams

Job description

R1 RCM Inc. is hiring a Machine Learning Engineer in New York City, with hybrid onsite work. You will accelerate AI-powered solutions, deploying scalable AI systems and collaborating with researchers, engineers, and clinicians to solve complex healthcare revenue cycle challenges.

The role emphasizes applied AI, production-scale ML, and translating ambiguous problems into measurable business outcomes. Competitive benefits accompany top-tier compensation.