Machine Learning Engineering Graduate Internship - Summer 2026

CVS Health Corporate Intern

You've invested a lot of time and energy in your education. Now you want the chance to make your mark. We offer challenging opportunities for you to learn and grow professionally. In our programs, you'll be immersed in a culture of continuous improvement, with the goal of changing health care for the better.

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand- with heart at its center- our purpose sends a personal message that how we deliver our services is just as important as what we deliver.

As a CVS Health Corporate Intern you will participate in:

• Projects that contribute to the success of our business
• Community service activities
• Professional development workshops
• Mentorship and networking opportunities
• Interaction with senior leaders

The Machine Learning Engineering Graduate internship experience is an 10.5 weeks full-time opportunity that starts on May 27th, 2026, and concludes on August 7th, 2026. This is a hybrid position with 3 days (generally Tuesday, Wednesday, and Thursday) in the New York, NY; Hartford, CT; Irving, TX or Wellesley, MA office location. The other 2 days each week may be worked remotely from home, another location, or you're welcome to be in the office on those days as well.

The hourly rate is $55/hr with 40 hours/week, no work on July 4th (company holiday), and two days of paid leave. Additionally, our corporate interns have an increased likelihood to receive an offer for a future role with CVS Health.

Work visa sponsorship is not available for this role. This includes participation in Curricular Practical Training (CPT), Optional Practical Training (OPT), and F-1 Visa programs.

CVS Health follows a hybrid work model providing office-based colleagues the ability to flex between working in the office and working from home based on the work you need to accomplish. Relocation assistance will be provided for candidates that need to move over 50 miles.

CVS Health's Analytics & Behavior Change team is an innovation engine driving impact across health care, retail, and pharmacy services. As America's leading health solutions company, we bring our heart to every moment of your health—and beyond. With one of the largest and most diverse data ecosystems in the nation, we power advanced analytics, machine learning, and real-world solutions. From improving patient outcomes to enhancing customer experiences in our stores, our work enables smarter decisions and meaningful change.

Our focus areas include:

• Personalized Consumer Experiences & Behavior Change
• Digital Health & Omnichannel Journeys
• Provider Performance & Network Optimization
• Patient Safety & Clinical Insights
• Enterprise Cost Management & Value Creation
• Care Management & Health Equity
• Fraud, Waste, and Abuse Prevention

This graduate-level internship offers hands-on experience with advanced machine learning engineering projects, mentorship, and exposure to enterprise-scale analytics. You'll work on initiatives that require deeper technical expertise and strategic thinking, including:

• Designing and implementing scalable ML solutions across the model lifecycle
• Developing and optimizing ML pipelines for training, inference, and deployment
• Collaborating with data science and engineering teams to integrate models into production workflows
• Leveraging ML frameworks and libraries (e.g., PyTorch, TensorFlow, scikit-learn) to build and refine models
• Deploying ML solutions on Google Cloud Platform (GCP) and other cloud environments
• Applying Agile/SAFe methodologies and contributing to architecture-level discussions

Required Qualifications:

Currently pursuing a Master's degree with expected graduation between Dec 2026 – June 2027

Experience with:

• Python and version control (Git)
• Machine learning techniques: supervised, unsupervised, and deep learning
• ML frameworks such as scikit-learn, PyTorch, TensorFlow
• Data preprocessing and feature engineering for large datasets
• Cloud platforms (GCP preferred)

Preferred Qualifications:

• Google Cloud Platform (GCP) experience highly preferred
• Familiarity with MLOps practices (CI/CD, containerization, drift monitoring)
• Knowledge of advanced ML applications: NLP, time series, anomaly detection, computer vision, generative AI
• Strong collaboration and communication skills within and across teams
• Excellent problem-solving and critical thinking abilities

Education:

Currently pursuing a Master's degree with expected graduation between Dec 2026 – June 2027

Preferred majors: Computer Science, Engineering, Data Science, Mathematics, Statistics

The typical pay range for this role is:

$55.00 - $55.00

Whether in our pharmacies or through our health service offerings, we are pioneering a bold new approach to total health care. As health care innovators, we are making quality care affordable, accessible, simple and seamless. We await your fresh ideas, new perspectives, and the unique contributions you will make to our organization.

This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.