2026 Summer Logistics Automation AIML Intern- Bachelor's (Santa Clara, CA)
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. 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.
Requirements
- Python Programming
- LLM Tools & Architectures
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Supervised/Unsupervised Learning
- Bachelors Computer Science / Data Science / Data Analytics / Cognitive Science / Statistics
- Preferred GPA of 3.5+
- GenAI or LLM tools knowledge / Data Science modeling experience
Responsibilities
- Data Collection, Cleaning, Preprocessing and Exploratory Data Analysis (EDA)
- Machine Learning/ Gen AI Model Development and Testing
- Data Visualization and Reporting
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What This Job Offers
Job Type
Full-time
Career Level
Intern
