Product Engineer

R1 RCM

2d • $204,316 - $319,244 • Onsite

About The Position

Phare is building healthcare’s first Revenue Operating System - a platform that uses AI to make hospital billing and reimbursement effortless, accurate, and fair. We’re part of R1, one of the largest companies managing healthcare claims which serves hundreds of systems around the country. This gives us the best of both worlds: the DNA of an AI startup paired with the infrastructure of a healthcare organization that supports care delivery every day. Together, we’re turning decades of operational expertise into intelligent systems that learn, adapt, and act - helping hospitals get paid correctly so they can focus on care. The Role You’ll own the production runtime for Phare’s ML stack - deploying, serving, and scaling models across inference endpoints and batch/streaming workflows. You’ll build progressive delivery pipelines with automated rollouts and rollbacks, manage SLOs for latency and availability, and instrument end-to-end observability (metrics, logs, traces, drift, regression). You’ll harden the platform with Terraform, Kubernetes, and CI/CD, ensuring reproducible, auditable ML releases. This is an in-person role in NYC requiring at least 3 days in the SoHo office. About you You have at least 5 years of relevant industry experience in software engineering, including at least 2 years of direct MLOps experience. You have a background in operating ML systems at scale, where uptime and feedback loops matter as much as accuracy. You have experience in: Production ML: You’ve deployed and operated models running on GPUs in production - APIs and batch/streaming inference. Platform engineering: Strong with Docker/Kubernetes, IaC (e.g., Terraform), and CI/CD for services and model artifacts; you maintain environment parity, reproducible releases, and robust model/experiment versioning with data lineage. Reliability: You use progressive delivery with automated rollouts/rollbacks, and you build end-to-end observability (metrics, logs, traces, and model telemetry for drift/regression) plus actionable alerting, runbooks, and incident response. Post-training lifecycle: You manage model registries and stage gates, design scheduled or event-driven retraining when appropriate, and enforce RBAC, secrets management, encryption, and audit logs. Bonus: Experience in regulated environments (e.g., healthcare, finance) For this US-based position, the base pay range is $204,316.00 - $319,243.75 per year . Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training. This job is eligible to participate in our annual bonus plan at a target of 40.00% The healthcare system is always evolving — and it’s up to us to use our shared expertise to find new solutions that can keep up. On our growing team you’ll find the opportunity to constantly learn, collaborate across groups and explore new paths for your career. Our associates are given the chance to contribute, think boldly and create meaningful work that makes a difference in the communities we serve around the world. We go beyond expectations in everything we do. Not only does that drive customer success and improve patient care, but that same enthusiasm is applied to giving back to the community and taking care of our team — including offering a competitive benefits package. R1 RCM Inc. (“the Company”) is dedicated to the fundamentals of equal employment opportunity. The Company’s employment practices , including those regarding recruitment, hiring, assignment, promotion, compensation, benefits, training, discipline, and termination shall not be based on any person’s age, color, national origin, citizenship status, physical or mental disability, medical condition, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status or any other characteristic protected by federal, state or local law. Furthermore, the Company is dedicated to providing a workplace free from harassment based on any of the foregoing protected categories. If you have a disability and require a reasonable accommodation to complete any part of the job application process, please contact us at 312-496-7709 for assistance. CA PRIVACY NOTICE: California resident job applicants can learn more about their privacy rights California Consent To learn more, visit: R1RCM.com Visit us on Facebook R1 is the leader in healthcare revenue management, helping providers achieve new levels of performance through smart orchestration. A pioneer in the industry, R1 created the first Healthcare Revenue Operating System: a modular, intelligent platform that integrates automation, AI, and human expertise to strengthen the entire revenue cycle. With more than 20 years of experience, R1 partners with 1,000 providers, including 95 of the top 100 U.S. health systems, and handles over 270 million payer transactions annually. This scale provides unmatched operational insight to help healthcare organizations unlock greater long-term value. To learn more, visit: https://www.r1rcm.com.

Requirements

• You have at least 5 years of relevant industry experience in software engineering, including at least 2 years of direct MLOps experience.
• You have a background in operating ML systems at scale, where uptime and feedback loops matter as much as accuracy.
• Production ML: You’ve deployed and operated models running on GPUs in production - APIs and batch/streaming inference.
• Platform engineering: Strong with Docker/Kubernetes, IaC (e.g., Terraform), and CI/CD for services and model artifacts; you maintain environment parity, reproducible releases, and robust model/experiment versioning with data lineage.
• Reliability: You use progressive delivery with automated rollouts/rollbacks, and you build end-to-end observability (metrics, logs, traces, and model telemetry for drift/regression) plus actionable alerting, runbooks, and incident response.
• Post-training lifecycle: You manage model registries and stage gates, design scheduled or event-driven retraining when appropriate, and enforce RBAC, secrets management, encryption, and audit logs.

Nice To Haves

• Experience in regulated environments (e.g., healthcare, finance)

Responsibilities

• You’ll own the production runtime for Phare’s ML stack - deploying, serving, and scaling models across inference endpoints and batch/streaming workflows.
• You’ll build progressive delivery pipelines with automated rollouts and rollbacks, manage SLOs for latency and availability, and instrument end-to-end observability (metrics, logs, traces, drift, regression).
• You’ll harden the platform with Terraform, Kubernetes, and CI/CD, ensuring reproducible, auditable ML releases.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed