Intern - Data Science

Key Skills

Data science techniques, Real time scoring models

Job Description

Who We Are

Applied Materials is the global leader in materials engineering solutions, enabling the production of virtually every new chip and advanced display in the world. We design, build, and service state-of-the-art equipment that helps our customers manufacture semiconductor and display chips—the core of the devices we use every day. As a cornerstone of the global electronics industry, Applied powers the technologies that connect our world, including AI and IoT.

If you're driven to push the boundaries of science and engineering and want to shape the future of technology, join us to Make Possible a Better Future.

What We Offer

Location: Santa Clara, CA

At Applied, we believe that our people are our greatest strength. We support your well-being, both personally and professionally, by offering a comprehensive total rewards package designed to enhance your health, happiness, and resilience. Our benefits and wellness programs are tailored to help you care for your whole self and your family, wherever life takes you.

We foster a supportive, inclusive culture where you can learn, grow, and thrive. You’ll have opportunities to develop your career while contributing to innovative solutions for our customers. At Applied, we empower you to explore what’s possible—every day. Learn more on our Careers site.

About the Internship

Our team focuses on identifying and designing novel chemistries and materials for R&D and deployment in high-volume manufacturing, using Applied Materials tools across a range of logic and memory technologies. The goal is to accelerate experimental development cycles through advanced computational modeling.

As an intern, you will work on a high-impact project aimed at identifying new materials and material stacks with specific property targets. This role requires specialized expertise in developing, executing, and analyzing computational models.

Key Responsibilities

• Design and optimize chemistries and materials, focusing on thermal transport in bulk materials and interfaces
• Evaluate machine-learned interatomic potentials (MLIPs) for thermal property prediction, including tuning for accuracy
• Recommend atomic-scale structural or processing modifications to influence material properties
• Provide critical input for higher-level process, feature, and reactor models
• Formulate and test hypotheses to uncover root causes of observed material behaviors
• Collaborate with multidisciplinary teams including experimentalists, modelers, and infrastructure engineers
• Exercise sound judgment in selecting appropriate modeling methods based on scope and complexity
• Validate models using experimental or real-world data
• Communicate technical findings clearly and concisely
• Advocate for modeling’s impact while transparently communicating its limitations
• Serve as a subject matter expert in chemistry, materials science, or physics within your team

Additional Information

• Time Type: Full-time
• Employee Type: Intern / Student
• Travel Required: No
• Relocation Eligible: No

Compensation will be determined based on several factors including location, experience, and internal equity. In addition to salary, eligible candidates may participate in bonus or stock award programs.

Applied Materials is an Equal Opportunity Employer. We value diversity and provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected status.

Accessibility Accommodations: If you need assistance or accommodations during the application process, please contact us at Accommodations_Program@amat.com or call 877-612-7547 (Option 1 to speak with an HR Advisor). Please note that this line is for accommodation requests only.