2025 Summer AI ML Intern - (Gloucester, MA)

Who We Are 

Applied Materials is the 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 work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible® a Better Future.  

At Applied, we prioritize your well-being and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. 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 a Co-op to join our team for summer 2025! 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 pursuing a Bachelor’s or Master’s degree program in AI related field such as Computer Science, Physics or Engineering
• Students in their final year in a Bachelor’s or Master’s degree preferred
• 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#
• ​NOTE: Dates of internship June 2025 – August 2025
• Please apply by Jan. 20, 2025
   

Compensation 

$34 - $41 per hour 

The rate offered to a selected candidate will be based on a number of factors including location and education level and will vary depending on confirmed job-related knowledge, skills, and experience.

Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities.

Qualifications

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Additional Information

Time Type:

Part time

Employee Type:

Intern / Student

Travel:

Yes, 10% of the Time

Relocation Eligible:

No

Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All 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.