2026 Summer AI ML Intern - BS/MS (Gloucester, MA)

Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world. 

What We Offer

Location:

You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. 

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits. 

Applied Materials’ VCS Software Engineering Department is searching for an intern to join our team for Summer 2026! Our department works on control systems for our business unit which builds ION implanters used in the manufacturing of computer chips, and power electronics.  Specifically, our team works on improving performance using Artificial Intelligence and Machine Learning.  We already have several patents and papers published – and are experimenting with cutting edge AI technology. The position will entail the following:

• Reducing very large (many TB) proprietary datasets to Parquet / Pandas formats for use in several new and ongoing AI projects

• Using both Cloud-based Cloudera infrastructure for developing and running AI experiments using Jupyter Notebooks

• Developing models from computer simulations to do digital twins

• Neural Nets - Reinforcement Learning, DNNs, CNNs, RNNs, LSTMs, ESNs and more

• Machine Learning – Bayesian Networks, Gaussian Process, SVMs, Random Forests, Isolation Forests

• Assisting physicists in exploring various AI projects.
   

Requirements

• Student must be either a rising senior in a Bachelor’s degree program or currently pursuing a Master’s degree program in AI related field such as Computer Science, Physics or Engineering.

• Student must be in good academic standing at their university, with a preferred GPA of 3.0 or above on a 4.0 scale

• Quick learner – and willing to learn, or already familiar with Python and C#

2026 Summer internship program start/end dates:

Tuesday, May 26 - Friday, August 14

Monday, June 8 - Friday, August 28

Monday, June 15 - Friday, September 4

Compensation:

$37 - $45 per hour

Additional Information

Time Type:

Employee Type:

Travel:

Relocation Eligible:

The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.

For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at [email protected], or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.