About Revecore
Revecore is a leading provider of revenue integrity, underpayments solutions, denial prevention services, and complex claims solutions to U.S. health systems. Serving 1,200 hospital facilities across 42 states, we leverage a scalable operating platform powered by proprietary technology and decades of accumulated experience to improve the most complicated aspects of hospitals’ claims cycles. Our long-term vision is to evolve into an AI-enabled, best-in-class player that comprehensively addresses providers’ revenue optimization needs.
The Opportunity
We are seeking a Principal Machine Learning Engineer to join our team and drive our AI-enabled workflow program. In this role, you will leverage your expertise in machine learning, data analysis, and software engineering to grow and increase the efficiency of our underpayment business. You will have the opportunity to work on exciting projects, such as building an AI-system that prioritizes the best next claims based on expected recovery dollars, identifying root causes and discovering new patterns of opportunity, and improving our claim-remit matching process. This is a great opportunity to contribute to the AI-transformation of Revecore and make a significant impact on our business and the healthcare industry.

What You’ll Do

• Own end-to-end development, training, productionizing, evaluation, and improvement of machine learning systems to rank claim opportunities.
• Conduct in-depth error analysis to uncover root causes, engineer features, identify patterns and improve models, maintaining a strong data-first focus throughout the model development lifecycle.
• Research, implement, and launch new model architectures that drive business impact.
• Continuously measure the impact of the AI-enabled workflows on key business metrics and use these measurements to improve the machine learning models and workflows.
• Partner and collaborate with cross-functional teams of software engineers, data engineers, subject matter experts, product managers and analysts to design and build practical solutions.

What You’ll Bring

• Bachelor’s degree in computer science, data science, mathematics, or a related field. A Master’s degree or Ph.D. is preferred.
• Extensive experience wrangling data and performing exploratory data analysis.
• 8+ years of professional experience as an ML Engineer, data scientist, applied scientist, or similar.
• Experience, developing, and deploying machine learning models in a production environment. Experience with R&D and operating ML pipelines in a cloud platform (e.g., AWS, GCP, Azure)
• Experience with popular ML libraries/frameworks, such as scikit-learn, TensorFlow, PyTorch.
• Excellent problem-solving skills, attention to detail, and ability to work effectively in a team.

Revecore is an equal opportunity employer that does not discriminate based on race, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin, age, disability status, veteran status, genetic information, or any other legally protected status.
We believe that a diverse workforce fosters innovation and creativity, enriches our culture, and enables us to better serve the needs of our clients and communities. We welcome and encourage individuals of all backgrounds, perspectives, and abilities to apply.
Revecore is an equal opportunity employer that does not discriminate based on race, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin, age, disability status, veteran status, genetic information, or any other legally protected status.
We believe that a diverse workforce fosters innovation and creativity, enriches our culture, and enables us to better serve the needs of our clients and communities. We welcome and encourage individuals of all backgrounds, perspectives, and abilities to apply.
Must reside in the United States within one of the states listed below:
Alabama, Arkansas, Delaware, Florida, Georgia, Iowa, Illinois, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Maine, Maryland, Michigan, Minnesota, Missouri, Mississippi, Montana, North Carolina, Nebraska, New Hampshire, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Virginia, Wisconsin, and West Virgini

• Own end-to-end development, training, productionizing, evaluation, and improvement of machine learning systems to rank claim opportunities.
• Conduct in-depth error analysis to uncover root causes, engineer features, identify patterns and improve models, maintaining a strong data-first focus throughout the model development lifecycle.
• Research, implement, and launch new model architectures that drive business impact.
• Continuously measure the impact of the AI-enabled workflows on key business metrics and use these measurements to improve the machine learning models and workflows.
• Partner and collaborate with cross-functional teams of software engineers, data engineers, subject matter experts, product managers and analysts to design and build practical solutions