Machine Learning Engineering Graduate Internship - Summer 2025

$114,400 - $114,400/Yr

CVS Health - Wellesley, MA

Full-time - Intern

Remote - Wellesley, MA

Health and Personal Care Retailers

About the position

This 11-week full-time summer internship program at CVS Health offers students the opportunity to gain real work experience in the Analytics & Behavior Change business area. Interns will work on projects, participate in networking and career exploration activities, and have the chance to apply for future full-time roles. The program runs from May 28th to August 8th, 2025, and follows a hybrid work model with three days in the office and two days remote.

Responsibilities

• Identify opportunities related to the data science lifecycle and develop solutions
• Lead the development of a Python package for data scientists, which will also be open-sourced
• Embrace a product and systems mindset when developing solutions at scale
• Work cross-functionally with data scientists, data engineers, and leadership
• Use data to inform strategic and design decision making in addition to measuring performance and outcomes to demonstrate efficacy

Requirements

• Currently pursuing a Master's degree program with an expected graduation date between December 2025 and August 2026
• Foundational knowledge of machine learning techniques such as supervised, unsupervised, and deep learning
• Proficiency in Python
• Experience in developing efficient, maintainable, and scalable code in a collaborative environment with version control using Git
• Experience in ML modeling with scikit-learn, PyTorch, Keras, TensorFlow, JAX, HuggingFace, etc.
• Experience in preprocessing large datasets to generate high quality features for training and inference datasets

Nice-to-haves

• Familiarity with engineering features and deploying models on cloud platforms such as GCP, AWS, or Azure
• Demonstrated expertise in one or more machine learning applications such as natural language processing, time series modeling, anomaly detection, computer vision, generative AI, etc.
• Experience with creating and deploying containerized ML pipelines with Continuous Integration/Continuous Deployment
• Experience with creating ML pipelines with MLOps best practices such as drift monitoring, performance monitoring, continual learning, A/B testing, etc.

Benefits

• Hourly rate of $55 per hour
• 40 hours per week
• Two days of paid leave
• Housing stipend may be provided based on eligibility
• Networking and career exploration activities