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2026 Summer AI/ML Intern (Bachelors/Masters Santa Clara, CA)

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Job ID: R2613731
Date posted: 03/07/2026
Location: Santa Clara, CA
Category: Interns

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:

Santa Clara,CA

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.

Display & Flexible Technologies (DFT) at Applied Materials develops and builds advanced large‑format semiconductor processing equipment used to produce virtually every display in the world. The organization operates at the intersection of cutting‑edge engineering, manufacturing, and global customer deployment.

As a highly motivated, self-starter you will be part of a highly collaborative AI adoption environment within DFT where team members work across engineering, product, operations, and field teams. The culture emphasizes creative problem‑solving and teamwork to drive measurable business impact.

PREFERRED QUALIFICATIONS:

AI & Technical Foundation

Foundational understanding of coding concepts (e.g., Python, SQL, or similar languages)
Ability to read, understand, and modify code, even if not a primary software developer
Experience using AI‑assisted tools (e.g., coding copilots, large language models, data analysis notebooks) to accelerate productivity
Familiarity with data analysis, visualization, or dashboarding concepts

Change Adoption Mindset

Curiosity about applying AI to improve real workflows and decision‑making
Comfort experimenting, iterating, and validating AI‑generated outputs
Awareness of responsible AI practices, including data quality, validation, and limitations

Business / Operations Exposure (Nice to Have)

Coursework or experience related to: R&D Workflows, Manufacturing, supply chain, or product costing, Quality processes. Process improvement, Lean, or operations analytics.
Ability to translate technical analysis into actionable business insights

EXPECTED OUTCOMES

Real‑world exposure to advanced semiconductor manufacturing, learning how large‑scale, complex equipment is designed, built, and supported for global customers
Hands‑on experience applying AI, automation, and data analysis to real engineering, manufacturing, and operations workflows
Exposure to how a global technology organization evaluates and improves capacity, capabilities, and processes using data‑driven approaches
End‑to‑end ownership of a meaningful project, from problem definition through implementation by the end of the internship
Practical experience using AI‑assisted tools responsibly to accelerate analysis, decision‑making, and business impact

REQUIREMENTS/EDUCATION:

Pursuing a Bachelor’s or Master's degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, Physics, Cognitive Science, or a related field
Actual project work on AI, machine learning, or LLM concepts through coursework or internships
Experience working with structured and unstructured data
Excellent communication skills

Additional Information

Time Type:

Full time

Employee Type:

Intern / Student

Travel:

Not Specified

Relocation Eligible:

Yes

The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.

For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.

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.

In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.