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 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. 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 You’ll 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 We’re 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 mindset—taking 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 Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or related field required Master’s 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 $154,100 to $341,600. Join an award-winning company Five-time winner of “Best in KLAS” 2020-2022, 2024-2025 Black Book Research's 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 Group's RCM Operations PEAK Matrix Assessment 2024 Clarivate Healthcare Business Insights (HBI) Revenue Cycle Awards for strong performance 2020, 2022-2023 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 role’s range. Employment Disclaimers – Ensemble