ML Engineer (R37)

Overview

Machine Learning Engineer at R37, R1's AI innovation lab, building AI-powered solutions for healthcare revenue cycle work, bridging research and production.

What you'll do

• 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 and model selection to production build and deployment, to ongoing improvement
• Work backwards from complex business problems to define AI abstractions and system architectures that are scalable, explainable, and maintainable
• Design ranking and triage models that determine how work is routed between AI agents and human operators
• Partner closely with software engineers, product managers, clinicians, and operators to ensure AI/ML systems deliver measurable business value

What you'll need

• 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 machine learning technologies
• Proven ability to collaborate across cross-functional teams and translate complex business problems into scalable AI solutions

Nice to have

• Experience working with healthcare data, healthcare technology, or Revenue Cycle Management (RCM) environments
• Experience mentoring engineers and driving AI/ML best practices across teams

Details

• Remote, USA; the role is preferred as hybrid with 3 days onsite at the SOHO Office Hub in New York City
• Levels range from L2 to Staff
• Base pay range $140,000 - $270,000 per year, with an annual bonus target of 10%