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:
Singapore,SGP

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.

• 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.

• 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.