ML Engineer
Role Overview
As a Machine Learning Engineer at Phare Health, you will own the internal ML development environment, including instrumentation, benchmarking, and experimentation, to accelerate the transition of research ideas into validated production pipelines. This mid to senior-level role involves partnering closely with research teams to make models production-ready by establishing handoff contracts, performance gates, and packaging standards, while collaborating with ML Platform and Ops for safe rollouts. You will have a direct impact on improving the speed and efficiency of AI-driven healthcare billing solutions.
Perks & Benefits
This role offers top-of-market compensation including salary and equity, flexible PTO, and comprehensive health benefits with 401(k) matching. It is a hybrid in-office position requiring at least 3 days per week in the SoHo NYC office, with no explicit remote work flexibility mentioned. You will join an inspiring, brilliant, and mission-driven team focused on building fairer healthcare payments, providing opportunities for career growth in a dynamic AI startup environment backed by a large healthcare organization.
Full Job Description
About Phare & R1
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 recently became 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 scale of a healthcare organization that supports care delivery for hundreds of healthcare systems nationwide. Join us on our mission to build a fairer, faster model for healthcare payments.
The Role
As a Machine Learning Engineer, you will own the internal ML dev environment (instrumentation, benchmarking, experimentation) so ideas move rapidly from research to validated pipelines. You’ll partner closely with the research 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 Eng experience.
This is an in-person role in NYC requiring at least 3 days in the SoHo office.
About you
You’re an ML engineer who thrives at the intersection of research and production - someone who sees the research team as your primary customer and loves building the internal engines that let ideas ship faster.
You have experience:
Building training and inference infrastructure for a fast-moving research team including experiment tracking and benchmarking.
Operating modern orchestration/compute and accelerators at scale (e.g., Ray, Airflow, Kubernetes) and optimizing performance and cost tradeoffs.
Building agentic workflows, familiarity with agent orchestration.
Liaising between Research & MLOps to establish handoff contracts, performance gates, and rollout standards.
Staying up to date with ML literature and engineering best practices
Benefits
Top-of-market compensation (salary + equity)
Flexible PTO
Hybrid in-office (min. 3 days per week)
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)
Culture interview in person in NYC
References
Offer
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