2026 Summer Intern - ML Operations - New Jersey

Internship Opportunity At Stryker

At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won't just observe you'll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare.

As an intern, you will:

• Apply classroom knowledge and gain experience in a fast-paced and growing industry setting
• Implement new ideas, be constantly challenged, and develop your skills
• Network with key/high-level stakeholders and leaders of the business
• Be a part of an innovative team and culture
• Experience documenting complex processes and presenting them in a clear format

Who we want:

Challengers. People who seek out the hard projects and work to find just the right solutions.

Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward.

Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts.

Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives.

Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships.

Game changers. Persistent interns who will stop at nothing to live out Stryker's mission to make healthcare better.

As a summer intern on the MLOps team, you'll support the design and development of scalable systems that interact with AI models, assist in building CI/CD and data pipelines, and collaborate with cross-functional teams to align technical solutions with business goals. You'll contribute to the development of a Machine Learning Operations Platform that streamlines and automates the entire AI/ML lifecyclefrom data management and model development to deployment across Stryker applications and devices. Potential projects include building a model catalog dashboard for model discovery and creating DevOps templates to accelerate solution development for targeted AI/ML use cases. The ML Operations Intern will focus on building systems and applications that interact with AI models in a cloud-native (Azure) environment. In this position, you'll be responsible for designing, developing, and maintaining software applications that flawlessly integrate with state-of-the-art AI and machine learning technologies. The ideal candidate will have a background in machine learning operations, software development best practices, and knowledge of programming languages, frameworks, and technologies. You will collaborate with other team members to drive innovation and ensure the successful delivery of high-quality software solutions.

Majors Targeted: Computer Engineering, Computer Science, Software Engineering, Data Science

$23.50 min hourly wage $33.50 max hourly wage and either paid corporate housing or a living stipend, dependent upon hiring location.

What you need:

• Currently pursuing a Bachelor's or Master's degree in a related field; must remain enrolled in a degree-seeking program after the internship.
• Cumulative 3.0 GPA or above (verified at time of hire)
• Must be legally authorized to work in the U.S. and not require sponsorship now or in the future.
• Strong written and verbal communication skills, with proven ability to collaborate and build relationships
• Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities
• Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment.

Travel Percentage: None Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer M/F/Veteran/Disability.