Staff AI Engineer - R37 at R1 RCM Inc

, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Jul, 26

Salary

435562.5

Posted On

04 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, Machine Learning, Software Engineering, System Architecture, Data Modeling, Retrieval, Ranking, Generative AI, Healthcare Data, Model Evaluation, Production Deployment, Mentoring, Experiment Tracking, Benchmarking, Python, Infrastructure Design

Industry

Hospitals and Health Care

Description

About Us 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. Backed by real customers, real data, and real distribution, we operate on a national scale. Our agentic AI systems already power production workflows across 95 of the top 100 U.S. health systems, processing hundreds of millions of patient encounters each year, including: 180M+ Claims 550M+ Patient encounters 1.2B+ Workflow actions and outcomes each year This is startup-level ownership with enterprise-level impact. If you want to build AI that ships, scales, and measurably improves how healthcare works, this is the place to do it. The Role As an AI/ML Engineer, you’ll lead the development of early-phase, high-impact AI/ML systems; own the internal ML dev environment (instrumentation, benchmarking, experimentation); and help bring scientific rigor into production environments, so ideas move rapidly from research to validated pipelines. You’ll partner closely with Research Scientists to make models production-ready with clear handoff contracts, performance gates, and packaging standards; and with ML Platform & Ops for safe rollouts. We are hiring across several seniority levels ranging from Mid-level up to Staff. At a minimum, we would expect 5 years of software engineering experience with 2 years of AI/ML experience. What You’ll Do Build training and inference infrastructure for a fast-moving research team, including experiment tracking and benchmarking 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 Bring rigor to scientific decisions by defining the right evaluation datasets, metrics, and validation strategies tied to real outcomes Design ranking and triage models that determine how work is routed between AI agents and human operators Establish feedback loops and data flywheels that continuously improve model performance in production Partner closely with software engineers, product managers, clinicians, and operators to ensure AI/ML systems deliver measurable business value Prototype and scale new AI capabilities from 0 → 1, then harden them for real-world production use Mentor other AI/ML engineers and promote best practices across modeling, evaluation, and deployment Role Leveling 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 L3: Leads delivery of larger projects, handling increased technical complexity and ambiguity, providing light guidance to L2s on shared work Senior: Team Lead responsible for managing a portfolio of projects that contribute to major technical initiatives. 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. Benefits Top-of-market compensation (salary + equity) Flexible PTO Comprehensive health benefits 401(k) matching Inspiring, brilliant, mission-driven teammates Hiring Flow Intro call - your background & our mission alignment Technical deep-dives - pseudo-coding exercise and systems design (not Leetcode) Final in-person interview at one of our hubs (SF, NYC, Austin, or Chicago; travel arranged) References Offer Interview Logistics Notice As part of our hiring process, selected candidates will participate in an in-person interview. Candidates located near one of our talent hubs—San Francisco, New York, Austin, or Chicago—will be scheduled to meet with team members in those locations. For candidates residing outside these areas, we will arrange travel to a hub for the interview. Travel accommodation will be provided as needed. We are committed to providing equal employment opportunities and ensuring a fair and inclusive experience for all applicants. For this US-based position, the base pay range is $140,000.00-$300,000 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. 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 For this US-based position, the base pay range is $278,760.00 - $435,562.50 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 60.00% 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.

Responsibilities

You will lead the development of high-impact AI/ML systems and own the internal ML development environment to move research into production. You will also design scalable AI architectures and establish feedback loops to continuously improve model performance across healthcare workflows.