> Markdown version of [/jobs/ext/3669973-ml-engineer-r37](https://www.wearedevelopers.com/jobs/ext/3669973-ml-engineer-r37). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ML Engineer (R37) - **Company:** R1 RCM Inc. - **Location:** Salt Lake City, UT, United States (Remote available) - **Salary:** $140,000.0 - $270,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Automated Storage and Retrieval Systems, Machine Learning, Systems Architecture, Deep Learning, Model Validation, Generative AI, Agentic-AI, Machine Learning Operations - **Published:** October 10, 2026 - **Apply:** https://dejobs.org/x/x/67D27D4C488249939D79311CD8A82F9D/job/ ## About the Role * 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. Preferred Skills: * Experience working with healthcare data, healthcare technology, or Revenue Cycle Management (RCM) environments. * Experience mentoring engineers and driving AI/ML best practices across teams. ## Description Here's what you will experience working as a Machine Learning Engineer: * 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, We are looking for candidates at various levels, ranging from Level 2 to Staff * L2: Independently delivers a complete end-to-end project, owning design, implementation, and delivery of scoped work (Compensation Range for L2: $140k - $200k) * L3: Leads delivery of larger projects, handling increased technical complexity and ambiguity, providing light guidance to L2s on shared work (Compensation Range for L3: $140k - $253k) * Senior: Team Lead responsible for managing a portfolio of projects that contribute to major technical initiatives. (Compensation Range for Senior: $140k - $294k) * Staff: Impact at the organizational level. Responsible for leading multiple teams or multiple broad initiatives simultaneously, ensuring that high-level technical goals are met across the entire organization. (Compensation Range for Staff: $140k - $350k)