2026 Summer AI/ML Intern (Bachelors/Masters… at Applied… · Santa…

Summary: Applied Materials is a global leader in materials engineering solutions used to produce advanced semiconductor chips and displays. The AI/ML Intern will work collaboratively within the Display & Flexible Technologies team, applying AI and data analysis to real engineering and manufacturing workflows while gaining hands-on experience in a technology-driven environment. Responsibilities: - Be part of a highly collaborative AI adoption environment within DFT where team members work across engineering, product, operations, and field teams - Drive measurable business impact through creative problem-solving and teamwork - Gain real-world exposure to advanced semiconductor manufacturing, learning how large-scale, complex equipment is designed, built, and supported for global customers - Apply AI, automation, and data analysis to real engineering, manufacturing, and operations workflows - Take end-to-end ownership of a meaningful project, from problem definition through implementation by the end of the internship - Use AI-assisted tools responsibly to accelerate analysis, decision-making, and business impact Required Qualifications: - 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 Preferred Qualifications: - 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 Required Skills: Python, AI-assisted tools, Data analysis Important Skills: Machine learning Internship Start Date: Start in 2026 Summer Benefits: Comprehensive benefits package, Participation in a bonus and a stock award program