Phare is building healthcare's first Revenue Operating System that uses AI to make hospital billing and reimbursement effortless, accurate, and fair. The company is looking for a Machine Learning Engineer to own the internal ML dev environment to accelerate the process of moving ideas from research to validated pipelines.
Requirements
- 5 years of software engineering experience with 2 years of ML Eng 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
Responsibilities
- Own the internal ML dev environment (instrumentation, benchmarking, experimentation) so ideas move rapidly from research to validated pipelines.
- 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.
- 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
Other
- This is an in-person role in NYC requiring at least 3 days in the SoHo office.
- Intro call - your background & our mission alignment
- Culture interview in person in NYC
