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About the Role
You will own the production runtime for Phare’s ML stack, deploying, serving, and scaling models across inference endpoints and batch/streaming workflows. You will build progressive delivery pipelines with automated rollouts and rollbacks, manage SLOs for latency and availability, and instrument end-to-end observability. You will harden the platform with Terraform, Kubernetes, and CI/CD, ensuring reproducible, auditable ML releases.
Responsibilities
- Deploy, serve, and scale ML models across inference endpoints and batch/streaming workflows.
- Build progressive delivery pipelines with automated rollouts and rollbacks.
- Manage SLOs for latency and availability.
- Instrument end-to-end observability (metrics, logs, traces, drift, regression).
- Harden the platform with Terraform, Kubernetes, and CI/CD.
- Ensure reproducible, auditable ML releases.
Requirements
- Background in operating ML systems at scale.
- Experience deploying and operating models running on GPUs in production (APIs and batch/streaming inference).
- Strong experience with Docker/Kubernetes.
- Experience with Infrastructure as Code (e.g., Terraform).
- Experience with CI/CD for services and model artifacts.
- Experience maintaining environment parity, reproducible releases, and robust model/experiment versioning with data lineage.
- Experience using progressive delivery with automated rollouts/rollbacks.
- Experience building end-to-end observability (metrics, logs, traces, model telemetry for drift/regression) plus actionable alerting, runbooks, and incident response.
- Experience managing model registries and stage gates.
- Experience designing scheduled or event-driven retraining.
- Experience enforcing RBAC, secrets management, encryption, and audit logs.
- Minimum 5 years of software engineering experience.
- Minimum 2 years of ML Ops experience.
Skills
- ML Ops
- Docker
- Kubernetes
- Terraform
- CI/CD
- Observability
- Progressive Delivery
- Model Registries
- RBAC
- Secrets Management
- Encryption
- Audit Logs
Location
- NYC
Work Type
- In-person
- Hybrid in-office (min. 3 days per week)
Experience Level
- Mid-level
- Staff
- Level 2
- Level 3
- Senior
- 5 years of software engineering experience
- 2 years of ML Ops experience
Salary/Compensations
- $140,000.00-$300,000 per year
- Eligible to participate in our annual bonus plan
Benefits
- Top-of-market compensation
- Flexible PTO
- Comprehensive health benefits
- 401(k) matching
- Inspiring, brilliant, mission-driven teammates
About the Company
- Phare Health is now part of R1 and its AI innovation engine, R37 Lab, bringing Phare’s frontier clinical reasoning technology together with one of the largest healthcare platforms in the U.S.
- At R37 and Phare, we are building the first AI-native Healthcare Revenue Operating System: a connected platform that reasons over full medical records, payer logic, and financial workflows to automate medical coding, billing, and follow-up.
- Operate on a national scale with agentic AI systems powering production workflows across 95 of the top 100 U.S. health systems.
- Process hundreds of millions of patient encounters each year.
- This is startup-level ownership with enterprise-level impact.
- Opportunity to build AI that ships, scales, and measurably improves how healthcare works.
- R1 RCM Inc. (“the Company”) is dedicated to the fundamentals of equal employment opportunity.
- 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.
- To learn more, visit: R1RCM.com
- Visit us on Facebook
Equal 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
- For applicants outside of California: Please review our policy - R1 Non-Disclosure Consent