AI Engineer II, 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 II in R37, you will contribute to AI-driven solutions that support business outcomes while developing your technical expertise. You will work on AI systems for unstructured data problems in healthcare, implement models under guidance from senior team members, and help build systems that measure AI performance. 

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

• Support AI feature development: Contribute to AI capabilities for retrieval, ranking, categorization, and generative AI features on unstructured healthcare data, following established patterns and best practices. 

• Participate in AI projects: Work collaboratively on AI projects from requirements gathering through deployment, supporting stakeholders in delivering models and software that meet business objectives with guidance from senior engineers. 

• Assist in model implementation: Help build reliable AI systems for production environments, learning proper monitoring and operational practices for deployed models while ensuring quality standards. 

• Apply established methodologies: Use appropriate evaluation datasets, metrics, and model architectures following team guidelines to build effective AI solutions that connect to business outcomes. 

• Learn and collaborate: Work closely with product managers, senior engineers, and other team members to integrate AI capabilities, while actively developing your technical skills and contributing to team knowledge sharing. 

We would love to hear from you if you have: 

• Experience working with AI/ML systems in production environments, including exposure to search, ranking, or generative AI applications 

• Familiarity with prototyping new AI solutions and contributing to projects that moved from concept to implementation 

• Understanding of AI development lifecycle components, from model selection through basic productionization with senior guidance 

• Growing experience in connecting technical modeling work with business value through collaboration with stakeholders 

• Hands-on experience with tools like PyTorch, TensorFlow, and working with pre-trained models from platforms like Hugging Face, plus exposure to deployment tools such as Databricks, AWS Bedrock, or 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-$200,000.00 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.