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R1 RCM

Technology-driven revenue cycle management for providers

Machine Learning Operations Engineer

Applied Machine LearningUpdated on Nov 13
Full-time

About the Job

Requirements

  • Experience operating machine-learning systems at scale, with uptime and feedback loops as important considerations alongside model accuracy.
  • Experience deploying and operating models running on GPUs in production, including APIs and batch or streaming inference.
  • Strong platform engineering skills with Docker, Kubernetes, infrastructure as code such as Terraform, and CI/CD for services and model artifacts.
  • Ability to maintain environment parity, reproducible releases, and robust model and experiment versioning with data lineage.
  • Experience with progressive delivery, automated rollouts and rollbacks, and end-to-end observability covering metrics, logs, traces, model drift, and regression.
  • Experience implementing actionable alerting, runbooks, and incident response.
  • Experience managing model registries and stage gates, designing scheduled or event-driven retraining when appropriate, and enforcing role-based access control, secrets management, encryption, and audit logs.

Responsibilities

  • Own the production runtime for Phare’s machine-learning stack by deploying, serving, and scaling models across inference endpoints and batch or streaming workflows.
  • Build progressive delivery pipelines with automated rollouts and rollbacks.
  • Manage service-level objectives for latency and availability.
  • Instrument end-to-end observability across metrics, logs, traces, drift, and regression.
  • Harden the platform with Terraform, Kubernetes, and CI/CD to ensure reproducible and auditable machine-learning releases.
  • At L2, independently deliver end-to-end projects, owning design, implementation, and delivery of scoped work.
  • At L3, lead delivery of larger projects involving increased technical complexity and ambiguity, and provide light guidance to L2 colleagues on shared work.
  • At Senior level, lead a team and manage a portfolio of projects contributing to major technical initiatives.
  • At Staff level, lead multiple teams or broad initiatives simultaneously and ensure high-level technical goals are met across the organization.

Desired Qualifications

  • Experience working in regulated environments such as healthcare or finance.

About the Company

R1 RCM

Technology-driven revenue cycle management for providers

R1 RCM provides revenue cycle management solutions for healthcare providers, helping hospitals, health systems, and physician groups manage patient service revenue. Its products cover front-end, middle, and back-end processes—from registration and scheduling to coding, billing, collections, and denials management—using automation to streamline workflows. The company differentiates itself by offering end-to-end RCM services under long-term contracts with performance-based incentives, acting as a single vendor for multiple revenue-cycle needs and leveraging data-driven insights. Its goal is to cut administrative waste, improve financial performance, and enhance the patient experience so providers can focus more on patient care.

Company size
10,001+
Company stage
IPO
Headquarters
Murray, UT
Founded
2003

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