Senior AI Engineer

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October 1

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R1 RCM

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Healthcare Insurance • SaaS • Finance

R1 RCM is a leading provider of revenue cycle management solutions for the healthcare industry. With an emphasis on maximizing financial performance and optimizing patient care, R1 offers a comprehensive platform that integrates data analytics, intelligent technologies, and deep expertise in revenue cycle management. The company assists healthcare providers—ranging from hospitals and health systems to physician and specialty care practices—in capturing revenue opportunities, improving payer and patient cash flows, and ensuring compliance with government regulations. R1 is committed to driving cost reductions and revenue improvements while enhancing the patient experience. Their suite of services includes revenue recovery, clinical integrity, and regulatory navigation, making them a trusted partner for many top healthcare providers.

10,000+ employees

Founded 2017

⚕️ Healthcare Insurance

☁️ SaaS

💸 Finance

💰 Private Equity Round on 2024-07

📋 Description

• Advance AI Capabilities: Contribute to early-stage development 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 collaborate on the design of AI components and abstractions that solve intricate problems in a maintainable and logical way. Support the scalability and operational excellence of AI systems in 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 hiring efforts and help identify top AI talent. Participate in interviews and provide thoughtful feedback to strengthen the team.

🎯 Requirements

• 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, or a related field.

🏖️ Benefits

• This job is eligible to participate in our annual bonus plan. • offering a competitive benefits package. • Travel accommodations will be provided as needed.