Applied Materials, Inc. is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible the technology shaping the future.

Applied Materials’ VCS Software Engineering Department is searching for a coop to join our team for Summer 2024! 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#

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

Compensation

$28-$30 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.

Qualifications

Education:

Skills:

Certifications:

Languages:

Years of Experience:

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Additional Information

Time Type:

Full 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.