2026 AI EngineerData Scientist Intern- Bachelor's (Santa Clara, CA)

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

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Youll 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 possiblewhile 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. Were 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:

Applied Global Services (AGS) is a division of Applied Materials that delivers advanced services and solutions to optimize semiconductor manufacturing worldwide.

The AGS AI team develops and deploys AI-driven tools to improve service operations automate workflows and enhance productivity. Team members collaborate across engineering product and field teams working on rapid prototypes to global deployments. We are creative problem-solvers with a passion for AI automation and data-driven solutions and foster a collaborative environment that encourages hands-on experimentation and teamwork.

KEY RESPONSIBILITIES:

• Assist in the design and development of AI-driven solutions including methods processes and systems for analyzing structured and unstructured data from diverse sources.
• Support machine learning model development including data preprocessing feature engineering and evaluation using Python and modern AI frameworks
• Collaborate with internal stakeholders to gather requirements and translate them into AI solutions that address business needs.
• Contribute to large language model (LLM) integration and prompt engineering for enterprise applications.
• Develop and maintain data pipelines and automation scripts for model training and deployment leveraging SQL and Python.
• Participate in AI experimentation and prototyping including testing new algorithms and approaches for improving performance and scalability.
• Ensure timely delivery of AI-enabled tools and insights to support decision-making and operational efficiency.

TECHNICAL SKILLS:

• Programming & Scripting: Proficiency in Python for data preprocessing feature engineering and automation; basic SQL for data queries
• Machine Learning Fundamentals: Strong understanding of supervised/unsupervised learning model evaluation and optimization
• AI Frameworks: Exposure to TensorFlow PyTorch or Scikit-learn for building and testing models
• Data Analysis: Hands-on experience with Pandas NumPy; ability to clean and manipulate structured/unstructured data
• Large Language Models (LLMs): Familiarity with prompt engineering and integration concepts
• Data Pipelines: Basic knowledge of ETL processes and workflow automation
• Experimentation & Prototyping: Ability to test algorithms and iterate quickly
• Cloud Concepts: Awareness of AWS/Azure/GCP for deployment (coursework or projects)
• NLP Basics: Text preprocessing embeddings and semantic search fundamentals

SOFT SKILLS

• Creative Problem-Solving: Innovative approach to challenges and solution design and a passion for exploring new AI techniques and tools
• Rapid Iteration Mindset: Comfortable with fast-paced prototyping and adapting based on feedback
• Collaboration & Communication: Ability to work with cross-functional teams and explain technical concepts clearly

REQUIREMENTS/EDUCATION:

• Bachelors degree in Computer Science Data Science Engineering Statistics Mathematics Physics Cognitive Science or a related field.
• Exposure to large language models (LLMs) prompt engineering or natural language processing concepts.
• Experience working with structured and unstructured data including data cleaning and feature engineering.
• Understanding of cloud computing concepts (AWS Azure or GCP) through academic projects or professional experience.
• Ability to communicate in writing and through presentations and a desire to evangelize AI concepts.
• Prior internship research or project experience in AI automation or data-driven solutions is preferred.

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

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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 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 or by calling our HR Direct Help Line at 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.