AI Engineer R37

Staff AI Engineer R37

R1 is thrilled to introduce R37, committed to transforming healthcare financial performance so providers can focus on delivering exceptional care. R37 is pioneering an AI-driven approach to revolutionize revenue cycle management. Today we serve 95 of the top 100 hospital systems in the US and R37 will serve as the AI platform layer delivering results for our customers. Joining R37 offers the dynamic energy of a startup, backed by solid revenue, clear business value, and strong investment support.

• Lead AI Development: Spearhead the creation of initial-phase AI systems for retrieval, ranking, categorization, and generative AI features on unstructured healthcare data.
• Outcome-Driven Engineering: Deliver outcomes through software and models, ensuring projects are aligned with business objectives. Ask questions, disambiguate complexity, document your thinking, and deliver results.
• AI System Design: Work backwards from extremely complex business problems to design the correct AI abstractions and components in the simplest, most logical, and maintainable way possible. Maintain and operate AI systems at scale, ensuring reliability, performance, and operational excellence in AI production environments.
• Bring Rigor to Science Decisions: Be accountable for scientific decisions to deliver outcomes. Ensure proper evaluation datasets, correct metrics to connect outcomes to models, appropriate model architecture, and effective data flywheels for iterative improvement.
• Mentorship and Best Practices: Provide mentorship and promote best practices in data and AI while cultivating a collaborative and inclusive team culture.
• Team Growth: Contribute to team growth by improving hiring and recruiting outstanding AI talent.

• Proven experience building and operating production AI systems such as Search, Ranking, or generative AI products at a significant scale.
• Comfort in prototyping and pathfinding new opportunities that led to successful 0→1 projects.
• Proven experience implementing the full lifecycle of an early-phase AI development, from ideating on which models to use through product ionizing and maintaining them.
• Experience in developing deep product and business knowledge to connect abstract modeling and analysis tasks with business value.
• Experience developing models using tools like PyTorch, Tensor Flow, experimenting with models from Hugging Face and deploying to production with tools like Databricks, AWS Bedrock, Azure ML.
• While it is not required, it is another advantage if you also have: A relevant advanced degree (master's or PhD) in Machine Learning, Artificial Intelligence, Statistics, or a related field.

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 accommodations will be provided as needed. We are committed to providing equal employment opportunities and ensuring a fair and inclusive experience for all applicants.

Remote location.

For this US-based position, the base pay range is $−$ 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.

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 —…