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Staff AI Engineer, R37

R1 RCM

United States

Remote

USD 140,000 - 350,000

Full time

Today
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Job summary

A healthcare technology company is seeking a Staff AI Engineer to lead the development of AI systems to enhance healthcare performance. The ideal candidate will have experience in building production AI solutions, strong problem-solving skills, and a deep understanding of AI technologies. This role offers a competitive salary range of $140,000 - $350,000 annually and opportunities for growth in a supportive work environment.

Benefits

Competitive salary
Annual bonus plan
Comprehensive benefits package
Travel accommodations for interviews

Qualifications

  • Experience building production-level AI systems like Search, Ranking, or generative AI.
  • Track record of successful early-phase AI development and operationalization.
  • Ability to connect abstract modeling tasks to business outcomes.

Responsibilities

  • Lead creation of AI systems for unstructured healthcare data.
  • Ensure projects align with business objectives.
  • Design components to solve complex business problems.

Skills

Building and operating production AI systems
Prototyping and pathfinding new opportunities
Full lifecycle of AI development
Connecting modeling tasks with business value
Using tools like PyTorch and TensorFlow

Education

Relevant advanced degree (master’s or PhD) in Machine Learning or related field

Tools

PyTorch
TensorFlow
Databricks
AWS Bedrock
Azure ML
Job description
Overview

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.

Role

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.

Responsibilities
  • 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.
  • Rigor in 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.
Qualifications
  • 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 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.

  • Advantage if you have: A relevant advanced degree (master’s or PhD) in Machine Learning, Artificial Intelligence, Statistics, or a related field.

Interview Logistics Notice

Selected candidates will participate in an in-person interview. Candidates located near 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, travel to a hub for the interview will be arranged, with travel accommodations provided as needed. We are committed to providing equal employment opportunities and ensuring a fair and inclusive experience for all applicants.

Compensation and Benefits

For this US-based position, the base pay range is $140,000.00 - $350,000.00 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. We offer a competitive benefits package.

Additional Information

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.

Equal Employment Opportunity

R1 RCM Inc. (“the Company”) is dedicated to the fundamentals of equal employment opportunity. The Company’s employment practices, including recruitment, hiring, assignment, promotion, compensation, benefits, training, discipline, and termination shall not be based on protected characteristics. The Company is dedicated to providing a workplace free from harassment based on any protected category.

Accessibility

If you have a disability and require a reasonable accommodation to complete any part of the job application process, please contact us for assistance.

Privacy and Contact

CA PRIVACY NOTICE: California resident job applicants can learn more about their privacy rights. To learn more, visit the company website. This job description is for a US-based position.

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