AI Engineer III, 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. 

As an AI Engineer III in R37, you will independently deliver AI-driven solutions that drive real business outcomes. You will build AI systems to tackle unstructured data problems in healthcare, implement models that deliver results for customers, and contribute to systems that measure and improve AI performance. 

What you will do as an AI Engineer III, R37: 

• Build AI features: Develop AI capabilities for retrieval, ranking, categorization, and generative AI features on unstructured healthcare data, creating simple and effective solutions. 

• Execute AI projects: Take ownership of AI projects from requirements to production, working closely with stakeholders to deliver models and software that meet business objectives. 

• Implement and maintain models: Build reliable AI systems that perform well in production, ensuring proper monitoring and operational practices for deployed models. 

• Apply sound methodology: Use appropriate evaluation datasets, metrics, and model architectures to build effective AI solutions that connect to business outcomes. 

• Collaborate and grow: Partner with product managers, engineers, and other team members to integrate AI capabilities, while continuously improving your technical skills and contributing to team knowledge. 

We would love to hear from you if you have: 

• 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 AI development, from ideating on which models to use through productionizing 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, TensorFlow, 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. 

Interview Logistics Notice
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.

For this US-based position, the base pay range is $140,000.00-$253,000.00 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.