AI Engineer III

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

• Build AI capabilities for retrieval, ranking, categorization, and generative AI features on unstructured healthcare data • Take ownership of AI projects from requirements to production, working closely with stakeholders to deliver models and software that meet business objectives • Build reliable AI systems that perform well in production, ensuring proper monitoring and operational practices for deployed models • Use appropriate evaluation datasets, metrics, and model architectures to build effective AI solutions that connect to business outcomes • Partner with product managers, engineers, and other team members to integrate AI capabilities and contribute to team knowledge • Build systems that measure and improve AI performance

🎯 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 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 • Ability to participate in an in-person interview (travel arranged as needed) • US-based (position stated as US-based)

🏖️ Benefits

• Eligible to participate in our annual bonus plan • Travel accommodations for in-person interview will be provided as needed • Competitive benefits package