Masters Santa Clara, CA)

Applied Materials•Santa Clara, CA

1d•Onsite

About The Position

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.

Requirements

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

Nice To Haves

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
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
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