AI / Machine Learning Talent

Ensemble Health Partners; San Jose (CA); Hybrid; USD 154,000 - 342,000; Full time

Job summary

Ensemble Health Partners invites you to join the AI Lab, where you will design and deploy ML/AI systems aligned with healthcare revenue cycle outcomes. You will translate clinical and business problems into scalable AI solutions and work across engineering, product, and data teams to deliver measurable impact.

The role emphasizes production-grade ML, model efficiency, and experimentation, with hybrid onsite work in San Jose and opportunities for growth within a leading health-tech company.

Qualifications

• Bachelor’s degree in CS/Engineering/Data Science or related.
• 3+ years of relevant industry experience with ML/AI systems.

Responsibilities

• Design, build, evaluate, and improve ML/AI systems in production environments.
• Translate business problems into AI/ML solutions and measurable outcomes.
• Productize models into scalable, reliable, and cost-efficient services.
• Optimize training and inference performance (latency, throughput, cost).
• Analyze production data to drive continuous improvements.

Skills

Python

SQL

Machine Learning

Deep Learning

PyTorch

TensorFlow

Education

Bachelor’s degree in Computer Science

Master’s or PhD preferred for research roles

Tools

PyTorch

TensorFlow

Hugging Face

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 OpportunitiesLocation: San Jose, CA (Hybrid – Onsite 3x per week on Tues, Wed, Thurs)About Ensemble’s AI LabEnsemble 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 OnDepending on your background and strengths, you may:Design, build, evaluate, and improve machine learning and AI systems in production environmentsTranslate business problems into AI/ML solutions and measurable outcomesDevelop and run experiments to evaluate models, including defining metrics, datasets, and success criteriaProductize models into scalable, reliable, and cost-efficient servicesOptimize training and inference performance (latency, throughput, cost)Analyze real-world system behavior and production data to drive continuous improvementsPartner cross-functionally with engineering, product, and domain experts to deliver end-to-end solutionsContribute to AI research, experimentation, and adoption of new techniques where applicableCommunicate findings, tradeoffs, and recommendations clearly to both technical and non-technical stakeholdersWhat We’re Looking ForWe 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 settingsStrong problem-solving skills and ability to operate in ambiguous, evolving environmentsAbility to connect technical work to measurable business or product outcomesExperience collaborating across teams (engineering, product, data, or research)Ownership mindset—taking work from idea through execution and impactTechnical 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 optimizationDeep Learning: Frameworks such as PyTorch, TensorFlow, Hugging FaceLLMs & 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 datasetsSystems & Infrastructure (Engineer-leaning candidates):Model serving, APIs, and distributed systemsTraining at scale (e.g., multi-GPU / distributed training)Performance optimization and cost efficiencyResearch (Research-leaning candidates):Experiment design, evaluation rigorReading and applying state-of-the-art researchPublication or novel contributions (preferred, not required)QualificationsBachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or related field requiredMaster’s or PhD preferred for certain roles (especially research-oriented positions), but not required for all pathsRelevant 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 companyFive-time winner of “Best in KLAS” 2020-2022, 2024-2025Black Book Research's Top Revenue Cycle Management Outsourcing Solution 2021-202422 Healthcare Financial Management Association (HFMA) MAP Awards for High Performance in Revenue Cycle 2019-2024Leader in Everest Group's RCM Operations PEAK Matrix Assessment 2024Clarivate Healthcare Business Insights (HBI) Revenue Cycle Awards for strong performance 2020, 2022-2023Energage Top Workplaces USA 2022-2024Fortune Media Best Workplaces in Healthcare 2024Monster Top Workplace for Remote Work 2024Great Place to Work certified 2023-2024InnovationWork-Life FlexibilityLeadershipPurpose + ValuesBottom 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.Due to business, operational, payroll, and regulatory requirements, this position is limited to individuals who reside and are authorized to work within the United States. Applications generated from outside the United States will not be considered. Individuals may reapply when located within the United States.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 [e-mail] 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