[Hiring] AI/ML Engineer @Phare Health and R1 RCM

Role Description

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

Qualifications

• 5 years of software engineering experience
• 2 years of AI/ML experience

Requirements

• Experience in delivering complete end-to-end projects
• Ability to lead delivery of larger projects with increased technical complexity
• Experience in leading teams or major cross-functional initiatives

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.

Compensation

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.

Company Description

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.