ML Engineer

R1 RCM; New York (NY); Hybrid; USD 140,000 - 300,000; Full time

Benefits offered by this job

Top compensation

Flexible PTO

Health benefits

401(k) matching

Talented teammates

Job summary

R1 RCM Inc. in New York City is seeking an ML Engineer to lead the development of early-phase machine learning systems, own the internal ML dev environment, and push research into production.

You will partner with researchers, ML platform and operations teams, and product managers to deliver scalable AI capabilities with rigorous evaluation and measurable business value. Hybrid work helps balance collaboration and focus.

Qualifications

• 5 years of software engineering experience with ML focus.
• 2+ years of ML experience.
• Hybrid work model with 3 days onsite in NYC.
• Ability to collaborate with researchers and engineers.

Responsibilities

• Build training and inference infrastructure for a fast-moving research team.
• Design and develop scalable AI systems for unstructured healthcare data.
• End-to-end AI/ML system design from problem framing to production deployment.
• Define AI abstractions and scalable system architectures.
• Establish evaluation datasets, metrics, and validation strategies.
• Design ranking/triage models for AI and human workflow routing.
• Create feedback loops to improve model performance in production.
• Collaborate with software engineers, product managers, clinicians, and operators.
• Prototype and scale new AI capabilities from 0→1 and harden for production.
• Mentor other AI/ML engineers and promote best practices.

Skills

ML engineering

Python

Software engineering

Job 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 a ML Engineer, you’ll lead the development of early-phase, high-impact 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 ML experience.

We prefer this role to be Hybrid (3 days onsite) at our SOHO Office Hub in New York City.

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, or Austin—will be scheduled to meet with team members in those locations. For candidates residing outside these area, 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.

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For applicants outside of California:

Please review our policy - R1 Non-Disclosure Consent

To learn more, visit: R1RCM.com

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