ML Engineer

Reposted 2 Days Ago
New York, NY
In-Office
175K-300K Annually
Senior level
Artificial Intelligence • Healthtech • Software
The Role
The Machine Learning Engineer will develop the internal ML environment, partnering with research to ensure models are production-ready and optimizing infrastructure performance.
Summary Generated by Built In

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

Top Skills

AI
Airflow
Kubernetes
Ml
Ray
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, New York
19 Employees
Year Founded: 2023

What We Do

Phare Health is bringing hospital administration and revenue cycle management into the large language model era. The firm develops AI technology for the back office to address the systemic challenges of healthcare finance and, by doing so, lead the industry in improving outcomes for hospitals, clinicians, and patients. Phare Health is backed by some of the best healthcare systems and investors in the world, with a founding team from DeepMind, Google and NYU.

Similar Jobs

Snap Inc. Logo Snap Inc.

Machine Learning Engineer

Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Remote or Hybrid
6 Locations
5000 Employees
195K-343K Annually

Snap Inc. Logo Snap Inc.

Machine Learning Engineer

Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Remote or Hybrid
6 Locations
5000 Employees
195K-343K Annually

Definitive Healthcare Logo Definitive Healthcare

Machine Learning Engineer

Big Data • Healthtech • Software
Remote or Hybrid
United States
900 Employees
112K-210K Annually

Optum Logo Optum

Machine Learning Engineer

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office or Remote
6 Locations
160000 Employees
107K-194K Annually

Similar Companies Hiring

Milestone Systems Thumbnail
Software • Security • Other • Big Data Analytics • Artificial Intelligence • Analytics
Lake Oswego, OR
1500 Employees
Idler Thumbnail
Artificial Intelligence
San Francisco, California
6 Employees
Fairly Even Thumbnail
Software • Sales • Robotics • Other • Hospitality • Hardware
New York, NY

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account