2026 AI Engineer/Data Scientist Intern- Bachelor's (Santa Clara, CA)

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