2026 Summer AI ML Intern - BS/MS (Gloucester, MA)
About The Position
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: Gloucester,MA 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:
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#
Responsibilities
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Number of Employees
5,001-10,000 employees
