Role Description
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**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 (https://hrportal.ehr.com/applied/) .
**Team Overview**
The AGS Logistics Automation \& Network Optimization team defines and executes the global strategy for warehouse and logistics automation. By integrating AI/ML solutions, Robotics, and Industrial Automation, we optimize performance across our international network of warehouses and depots. Currently, our strategic focus is expanding into Generative AI and advanced data analytics to transform vast operational datasets into significant cost reductions and enhanced operational efficiencies.
**Key Responsibilities**
* Data Collection, Cleaning, Preprocessing and Exploratory Data Analysis (EDA)
* Machine Learning/ Gen AI Model Development and Testing
* Data Visualization and Reporting
**Technical Skills**
* Python Programming
* LLM Tools \& Architectures
* Prompt Engineering
* Retrieval-Augmented Generation (RAG)
* Supervised/Unsupervised Learning
**Requirements/Education**
* Bachelors
* Computer Science / Data Science / Data Analytics / Cognitive Science / Statistics
* Preferred GPA of 3\.5\+ GenAI or LLM tools knowledge / Data Science modeling experience
Applications will be reviewed on a rolling basis. Please apply by March 6, 2026\. Note: This position may close early based on application volume or candidate selection.
**Additional Information**
**Time Type:**
Full time
**Employee Type**
Intern / Student
**Travel**
**Relocation Eligible:**
No
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 (https://www.appliedmaterials.com/us/en/careers.html) 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.
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