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 Insurance, Electronics & Hardware, and Banking & Financial Services, with a strong mix of remote and on-site positions, and employers like CVS Health, General Motors, and Apple hiring at this level now.
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We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
Position Summary
CVS Health’s Analytics & Behavior Change (A&BC) organization tackles complex challenges at the intersection of healthcare and technology. We use advanced analytics, machine learning, modeling, and hypothesis‑driven approaches to turn data into actionable insights that drive growth, improve outcomes, and increase access to care across CVS Health. Our teams build next generation data and machine learning platforms and software products that help power CVS Health to make healthier happen for 100+ million customers.
The A&BC organization is looking to grow its Product team supporting advanced analytic automation and smart routing. Join us as we embark on an exciting journey to drive a transformational shift in how CVS Health leverages technology and analytics to become the leader in consumer healthcare in the U.S.
As a Senior Technical Product Manager within A&BC, you will be responsible for contributing to the creation, launch, and maintenance of AI-powered analytics support Aetna clinicians. This role requires a strong understanding of Product Management, Machine Learning algorithms, AI-powered insights acceleration, and cross-team collaboration. The ideal candidate has strong data literacy, experience with MLOps, threshold tuning & statistical risk management and experience with clinical policy and workflow integration. This person can work effectively with cross-functional teams, most importantly data scientists and machine learning engineers, to bring clinical data and AI/ML products from inception to production.
Responsibilities:
- Create product requirements documents, acceptance criteria, and detailed product specifications to communicate feature requirements to Data Science, Engineering, and Leadership teams.
- Support Engineering and Data Science teams to implement features by clarifying requirements, facilitating technical discussions, and helping technical team members to understand the end users and the business problem being solved. Ensure end-to-end insight and collaboration.
- Facilitate problem solving and prioritization across teams, factoring in trade-offs between speed, scalability, accuracy, and quality. Be prepared to get into technical details during discovery and while supporting the team to make trade-off decisions.
- Facilitate cross-team hand-offs and define data SLAs and interface contracts with upstream and downstream teams.
- Develop go-live timelines with your core data science team and engineering partners; align timelines and scope with multiple developer teams and stakeholders.
- Work closely with clinicians and operations to confirm business value, inform problem statements, and quantify the value of your team’s potential solution.
- Liaise with clinicians to validate model results and to facilitate review and refinement.
- Define, track, and analyze product performance metrics to drive feature prioritization and demonstrate ROI.
- Work with internal customers and executive stakeholders to maintain product roadmaps.
- Follow Agile best practices, including directly leading and guiding a dedicated scrum team of data scientists and software engineers.
Required Qualifications
- 5+ years of overall work experience.
- 3+ years’ experience working cross-functionally with Machine Learning Engineering and Data Science.
- 2 years’ Product Management, Product Management-adjacent, or Consulting experience (closely partnering with Data Scientists and Engineers).
- 2+ years’ experience working with AI, data analytics, data products, and/or complex analytics utilizing clinical or claims data to accelerate insights and drive value.
- 2+ years demonstrating the ability operate effectively within a complex stakeholder environment, driving consensus and fostering collaborative decision-making processes.
- 2+ years demonstrating the ability to communicate (oral and written), with experience in communicating technical concepts and implications to business stakeholders, including clinicians, as well as business concepts and requirements to Data Science, Engineering, and other technical teams.
- 2+ years of experience supporting and managing products throughout the full lifecycle, with a proven track record of contributing to successful product delivery and a strong understanding of QA methodologies and best practices.
- 2+ years of experience demonstrating the ability to drive results in complex, fast-paced environments, effectively navigating ambiguity, influencing stakeholders, and delivering business outcomes.
Preferred Qualifications
- Familiarity with MLOps, including model monitoring, data/concept drift detection and threshold calibration for predictive decision engines
- Familiarity with healthcare data interoperability standards
- Deep knowledge of various types of healthcare data, including experience utilizing clinical and claims data to create a longitudinal patient view or using AI to drive clinical data insights.
- Strong interest in the Healthcare sector; the ideal candidate should be passionate about making healthcare more efficient and want to be part of a transformational change in the Healthcare industry.
- Technical product management experience and/or experience with general AI/machine learning teams.
Education
- Bachelor’s degree in Computer Science, Engineering, Data Science, Analytics, Mathematics, Physics, Applied Sciences, or a related field required.
- Master’s degree preferred.
Pay Range
The typical pay range for this role is:
$106,605.00 - $284,280.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 09/28/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
Position Summary
CVS Health’s Analytics & Behavior Change (A&BC) organization tackles complex challenges at the intersection of healthcare and technology. We use advanced analytics, machine learning, modeling, and hypothesis‑driven approaches to turn data into actionable insights that drive growth, improve outcomes, and increase access to care across CVS Health. Our teams build next generation data and machine learning platforms and software products that help power CVS Health to make healthier happen for 100+ million customers.
The A&BC organization is looking to grow its Product team supporting advanced analytic automation and smart routing. Join us as we embark on an exciting journey to drive a transformational shift in how CVS Health leverages technology and analytics to become the leader in consumer healthcare in the U.S.
As a Senior Technical Product Manager within A&BC, you will be responsible for contributing to the creation, launch, and maintenance of AI-powered analytics support Aetna clinicians. This role requires a strong understanding of Product Management, Machine Learning algorithms, AI-powered insights acceleration, and cross-team collaboration. The ideal candidate has strong data literacy, experience with MLOps, threshold tuning & statistical risk management and experience with clinical policy and workflow integration. This person can work effectively with cross-functional teams, most importantly data scientists and machine learning engineers, to bring clinical data and AI/ML products from inception to production.
Responsibilities:
- Create product requirements documents, acceptance criteria, and detailed product specifications to communicate feature requirements to Data Science, Engineering, and Leadership teams.
- Support Engineering and Data Science teams to implement features by clarifying requirements, facilitating technical discussions, and helping technical team members to understand the end users and the business problem being solved. Ensure end-to-end insight and collaboration.
- Facilitate problem solving and prioritization across teams, factoring in trade-offs between speed, scalability, accuracy, and quality. Be prepared to get into technical details during discovery and while supporting the team to make trade-off decisions.
- Facilitate cross-team hand-offs and define data SLAs and interface contracts with upstream and downstream teams.
- Develop go-live timelines with your core data science team and engineering partners; align timelines and scope with multiple developer teams and stakeholders.
- Work closely with clinicians and operations to confirm business value, inform problem statements, and quantify the value of your team’s potential solution.
- Liaise with clinicians to validate model results and to facilitate review and refinement.
- Define, track, and analyze product performance metrics to drive feature prioritization and demonstrate ROI.
- Work with internal customers and executive stakeholders to maintain product roadmaps.
- Follow Agile best practices, including directly leading and guiding a dedicated scrum team of data scientists and software engineers.
Required Qualifications
- 5+ years of overall work experience.
- 3+ years’ experience working cross-functionally with Machine Learning Engineering and Data Science.
- 2 years’ Product Management, Product Management-adjacent, or Consulting experience (closely partnering with Data Scientists and Engineers).
- 2+ years’ experience working with AI, data analytics, data products, and/or complex analytics utilizing clinical or claims data to accelerate insights and drive value.
- 2+ years demonstrating the ability operate effectively within a complex stakeholder environment, driving consensus and fostering collaborative decision-making processes.
- 2+ years demonstrating the ability to communicate (oral and written), with experience in communicating technical concepts and implications to business stakeholders, including clinicians, as well as business concepts and requirements to Data Science, Engineering, and other technical teams.
- 2+ years of experience supporting and managing products throughout the full lifecycle, with a proven track record of contributing to successful product delivery and a strong understanding of QA methodologies and best practices.
- 2+ years of experience demonstrating the ability to drive results in complex, fast-paced environments, effectively navigating ambiguity, influencing stakeholders, and delivering business outcomes.
Preferred Qualifications
- Familiarity with MLOps, including model monitoring, data/concept drift detection and threshold calibration for predictive decision engines
- Familiarity with healthcare data interoperability standards
- Deep knowledge of various types of healthcare data, including experience utilizing clinical and claims data to create a longitudinal patient view or using AI to drive clinical data insights.
- Strong interest in the Healthcare sector; the ideal candidate should be passionate about making healthcare more efficient and want to be part of a transformational change in the Healthcare industry.
- Technical product management experience and/or experience with general AI/machine learning teams.
Education
- Bachelor’s degree in Computer Science, Engineering, Data Science, Analytics, Mathematics, Physics, Applied Sciences, or a related field required.
- Master’s degree preferred.
Pay Range
The typical pay range for this role is:
$106,605.00 - $284,280.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 09/28/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
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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 CVS Health, General Motors, and Apple, based on current listings on Migrate Mate as of September 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 56% of mid level ai ml intern openings are remote or hybrid as of September 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 Insurance, Electronics & Hardware, and Banking & Financial Services, based on current listings on Migrate Mate as of September 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.