College Intern

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. 

Traineeship Project Description:

This project focuses on applying artificial intelligence and machine learning (AI/ML) techniques to accelerate chemical design and predict key physicochemical properties of interest.

The intern will:

• Build and curate chemical datasets for modeling.
• Develop ML models (e.g., regression, classification, neural networks) for predicting chemical properties.
• Perform Python‑based data cleaning, feature engineering, and model evaluation.
• Work closely with chemists to translate modeling results into practical chemical design insights.
• Contribute to ML models for property prediction and materials screening.

Desired Skills Required:

• Proficiency in Python (NumPy, Pandas, Scikit‑learn, RDKit preferred).
• Basic understanding of chemistry or chemical properties.
• Familiarity with data modeling and machine learning workflows.
• Ability to analyse datasets and interpret model outputs.
• Independent, curious, and strong problem‑solving mindset.

Additional Information

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Relocation Eligible:

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.