ML Engineer

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’re 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 infrastructure of a healthcare organization that supports care delivery every day. Together, we’re turning decades of operational expertise into intelligent systems that learn, adapt, and act - helping hospitals get paid correctly so they can focus on care. 

The Role 

As a Machine Learning Engineer, you will own the internal ML dev environment (instrumentation, benchmarking, experimentation) so ideas move from research to validated pipelines in days. You’ll partner closely with Research to make models production-ready quickly - with clear handoff contracts, performance gates, and packaging standards-and with ML Platform & Ops for safe rollouts.  

This is an in-person role in NYC requiring at least 3 days in the SoHo office. 

About you 

At the Senior level, you have at least 5 years of relevant industry experience in software engineering, with at least 2 years as an ML Engineer (higher for Staff). You have a background in ML engineering where the ‘customer’ is a research team doing experimental work.

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