AI Machine Learning Talent

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 Ensembles 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. This general application allows candidates to be considered for multiple roles across the AI Lab. Final role alignment (e.g. Data Scientist AI Research Scientist Machine Learning Engineer) and leveling will be determined based on interview performance experience and team needs.

What Youll Work On

Depending on your background and strengths you may:

• Design build evaluate and improve machine learning and AI systems in production environments

• Translate business problems into AI/ML solutions and measurable outcomes

• Develop and run experiments to evaluate models including defining metrics datasets and success criteria

• Productize models into scalable reliable and cost-efficient services

• Optimize training and inference performance (latency throughput cost)

• Analyze real-world system behavior and production data to drive continuous improvements

• Partner cross-functionally with engineering product and domain experts to deliver end-to-end solutions

• Contribute to AI research experimentation and adoption of new techniques where applicable

• Communicate findings tradeoffs and recommendations clearly to both technical and non-technical stakeholders

What Were Looking For

We are hiring across a range of profiles but strong candidates will demonstrate:

• Proven experience working with machine learning or AI systems in real-world or production settings

• Strong problem-solving skills and ability to operate in ambiguous evolving environments

• Ability to connect technical work to measurable business or product outcomes

• Experience collaborating across teams (engineering product data or research)

• Ownership mindsettaking work from idea through execution and impact

Technical Skills (vary by role)

Candidates may have experience with some combination of:

• Programming: Python (required) plus familiarity with SQL and other languages (e.g. Java C Go)

• Machine Learning: Model development evaluation and optimization

• Deep Learning: Frameworks such as PyTorch TensorFlow Hugging Face

• LLMs & Modern AI: Fine-tuning prompt engineering evaluation frameworks or emerging techniques (e.g. PEFT RLHF)

• Data & Analytics: Statistics experimentation causal inference and working with real-world datasets

• Systems & Infrastructure (Engineer-leaning candidates):

  • Model serving APIs and distributed systems

  • Training at scale (e.g. multi-GPU / distributed training)

  • Performance optimization and cost efficiency

• Research (Research-leaning candidates):

  • Experiment design evaluation rigor

  • Reading and applying state-of-the-art research

  • Publication or novel contributions (preferred not required)

Qualifications

• Bachelors degree in Computer Science Engineering Data Science Mathematics or related field required

• Masters or PhD preferred for certain roles (especially research-oriented positions) but not required for all paths

• Relevant industry experience typically ranges from 3 years (Senior) to advanced leadership/ownership experience (Staff/Principal)

The base salary range for these roles is $154100 to $341600.

Join an award-winning company

Five-time winner of Best in KLAS

Black Book Researchs Top Revenue Cycle Management Outsourcing Solution 2021-2024

22 Healthcare Financial Management Association (HFMA) MAP Awards for High Performance in Revenue Cycle 2019-2024

Leader in Everest Groups RCM Operations PEAK Matrix Assessment 2024

Clarivate Healthcare Business Insights (HBI) Revenue Cycle Awards for strong performance-2023

Energage Top Workplaces USA 2022-2024

Fortune Media Best Workplaces in Healthcare 2024

Monster Top Workplace for Remote Work 2024

Great Place to Work certified 2023-2024

• Innovation

• Work-Life Flexibility

• Leadership

• Purpose Values

Bottom line we believe in empowering people and giving them the tools and resources needed to thrive. A few of those include:

• Associate Benefits We offer a comprehensive benefits package designed to support the physical emotional and financial health of you and your family including healthcare time off retirement and well-being programs.

• Our Culture Ensemble is a place where associates can do their best work and be their best selves. We put people first last and always. Our culture is rooted in collaboration growth and innovation.

• Growth We invest in your professional development. Each associate will earn a professional certification relevant to their field and can obtain tuition reimbursement.

• Recognition We offer quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company.

Ensemble is an equal employment opportunity employer. It is our policy not to discriminate against any applicant or employee based on race color sex sexual orientation gender gender identity religion national origin age disability military or veteran status genetic information or any other basis protected by applicable federal state or local laws. Ensemble also prohibits harassment of applicants or employees based on any of these protected categories.

Ensemble provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. If you require accommodation in the application process please contact .

This posting addresses state specific requirements to provide pay transparency. Compensation decisions consider many job-related factors including but not limited to geographic location; knowledge; skills; relevant experience; education; licensure; internal equity; time in position. A candidate entry rate of pay does not typically fall at the minimum or maximum of the roles range.

Employment Disclaimers Ensemble