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. 

As a Staff AI Engineer at R37, you will play a pivotal role in shaping and delivering AI-driven technical solutions that drive real business outcomes. You will lead the development of early-phase AI systems to tackle complex unstructured data problems in healthcare, driving results for customers, and developing systems to measure and improve AI performance. 

What you will do as a Staff AI Engineer, R37: 

• 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. 

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 an early-phase 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 in 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,