Mid Level AI ML Intern Jobs
Mid level ai ml intern jobs go to candidates ready to own model development pipelines, mentor junior contributors, and make architectural trade-offs with limited day-to-day oversight. Openings run across Technology & Software, Banking & Financial Services, and Automotive, with a strong mix of remote and on-site positions, and employers like General Motors, Amazon Web Services, and GEICO hiring at this level now.
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INTRODUCTION
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 exist 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.
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 TA@ensemblehp.com.
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
INTRODUCTION
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 exist 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.
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 TA@ensemblehp.com.
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
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Who's Hiring
Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Automotive
- Electronics & Hardware
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Mid Level AI ML Intern Jobs: Frequently Asked Questions
How do I get a mid level ai ml intern job?
Position yourself around ownership, not just participation. Highlight projects where you drove decisions on model selection, data pipeline design, or evaluation frameworks rather than supporting someone else's work. Tailor your application to show hands-on experience with production-adjacent ML systems, clear metrics from past work, and comfort operating with limited supervision. Recruiters at this level are looking for depth in at least one domain alongside demonstrated cross-functional collaboration.
Which companies hire mid level ai ml interns?
Companies hiring mid level ai ml interns right now include General Motors, Amazon Web Services, and GEICO, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a mix of large technology firms with dedicated ML research teams and fast-growing startups that need engineers who can contribute independently from day one.
Are there remote mid level ai ml intern jobs?
Yes, and the share is substantial. About 64% of mid level ai ml intern openings are remote or hybrid as of November 2026, reflecting how deeply distributed work has taken hold across AI and ML teams. Both large enterprises and lean startups offer flexible arrangements, so location is rarely a hard constraint for candidates at this experience level.
How do I move up to a mid level ai ml intern role?
The progression from entry level centers on building ownership over time. Early-career contributors typically start by executing defined tasks, then gradually take on full model development cycles, lead experiments independently, and begin mentoring newer teammates. Demonstrating measurable impact, such as improved model accuracy or reduced pipeline latency, combined with deeper specialization in an area like computer vision, NLP, or reinforcement learning, is what signals readiness for mid level responsibilities.
Which industries hire the most mid level ai ml interns?
Mid Level ai ml intern roles concentrate in Technology & Software, Banking & Financial Services, and Automotive, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because their data volumes, product complexity, and competitive pressure create sustained demand for engineers who can build and iterate on ML systems without close supervision.