Copilot ML / Intelligent Automation Intern – NPI Process Automation Team

Applied Materials • Austin, TX

23h • Onsite

About The Position

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. They design, build, and service cutting-edge equipment that helps customers manufacture display and semiconductor chips, enabling technologies like AI and IoT. This internship provides hands-on experience in developing and prototyping Copilot-based ML and Intelligent Automation (IL) solutions to improve the efficiency and quality of New Product Introduction (NPI) processes. The intern will focus on using ML, LLMs, and information-retrieval techniques to speed NPI workflows, improve accuracy and first-time-right outcomes, and enhance recall and reuse of lessons learned, BKMs, and historical data. The role sits at the intersection of AI/ML, process automation, and manufacturing engineering, with direct exposure to real-world constraints such as cycle time, repeat errors, and data quality.

Requirements

• Currently pursuing a Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Data Science, Electrical Engineering, Industrial Engineering, or a related field
• Coursework or project experience in machine learning, AI, data science, or information retrieval
• Programming experience in Python (required)
• Familiarity with data analysis libraries (NumPy, pandas, scikit‑learn)
• Strong analytical thinking and ability to translate open‑ended problems into implementable solutions
• Effective written and verbal communication skills
• Ability to work in a collaborative, cross‑functional engineering environment

Nice To Haves

• Familiarity with large language models (LLMs), embeddings, or semantic search techniques
• Experience with ML frameworks such as PyTorch, TensorFlow, or similar
• Exposure to workflow automation, copilots, or RPA concepts
• Interest in manufacturing, NPI, or complex engineering systems
• Familiarity with AI‑assisted coding tools (e.g., GitHub Copilot or similar)

Responsibilities

• Assist in the design and prototyping of Copilot / LLM‑enabled workflows for NPI process automation (e.g., issue analysis, repeat detection, decision support).
• Explore and implement machine learning and information‑retrieval approaches (semantic search, embeddings, similarity detection) to improve reuse of lessons learned and historical engineering knowledge.
• Support data preparation, labeling, and analysis across structured and unstructured sources (documents, BKMs, process logs, issue records).
• Develop proof‑of‑concept solutions that demonstrate improvements in execution speed, accuracy, or recall quality for real NPI use cases.
• Collaborate closely with NPI engineers, manufacturing teams, and software partners to understand workflows and validate solutions.
• Evaluate solution performance and document findings, tradeoffs, and limitations for potential production adoption.

Benefits

• supportive work culture that encourages you to learn, develop, and grow your career
• programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go
• comprehensive benefits package
• participation in a bonus program
• participation in a stock award program

What This Job Offers

• Job Type: Full-time
• Career Level: Intern