AI / Machine Learning Talent
Ensemble Health Partners
San Jose, CA, US
Hybrid
2026-06-23
Announced salary
$154k–$342k
Market rate in San Jose : $116K - $202K (median $153K) · BLS OEWS 2025
Job description
**Thank you for considering a career at Ensemble!**
Ensemble is a leading provider of technology\-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. They offer end\-to\-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country.
Ensemble keeps communities healthy by keeping hospitals healthy. We recognize that healthcare requires a human touch, and we believe that every touch should be meaningful. This is why our people are the most important part of who we are. By empowering them to challenge the status quo, we know they will be the difference!
O.N.E Purpose:
* **Customer Obsession:** Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.
* **Embracing New Ideas:** Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation.
* **Striving for Excellence:** Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results.
**The Opportunity:**
**AI Lab \- AI/ML Opportunities**
**Location:** San Jose, CA (Hybrid – Onsite 3x per week on Tues, Wed, Thurs)
**About Ensemble’s AI Lab**
Ensemble Health Partners is the leading Revenue Cycle Management (RCM) partner to U.S. health systems. We sit between hospitals, payers, and patients, and we are responsible for billions of dollars of healthcare revenue moving accurately and on time. AI is increasingly central to how we do that work — from predicting denials and automating coding to flagging payment integrity issues and routing accounts to the right action at the right time. These roles exists where those AI systems meet the business outcomes we are paid to deliver.
We are continuously building a pipeline of exceptional AI/ML talent across research, data science, and engineering.