Copilot ML / Intelligent Automation Intern NPI Process Automation Team

Who We Are\n\nApplied Materials is the 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\u2011edge equipment that enables our customers to manufacture semiconductor chips and displays\u2014the foundation of the devices we use every day. As the backbone of the global electronics industry, Applied Materials enables technologies that connect and transform our world, including AI, data\u2011driven automation, and intelligent systems.\n\nJoin Applied Materials to Make Possible\u00ae a Better Future.\n\nWhat We Offer\n\nAt Applied Materials, we value learning, collaboration, and practical innovation. As a summer intern, you will work alongside senior engineers, program leaders, and domain experts on real production problems, not toy examples. You will gain hands\u2011on experience applying machine learning and AI copilots to complex engineering and manufacturing workflows, receive mentorship on system\u2011level thinking, and see how AI solutions are operationalized at scale in a global manufacturing environment.\n\nRole Summary\n\nThis internship provides hands\u2011on experience in developing and prototyping Copilot\u2011based 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\u2011retrieval techniques to:\n\n * speed execution of NPI workflows,\n * improve accuracy and first\u2011time\u2011right outcomes, and\n * enhance recall and reuse of lessons learned, BKMs, and historical data.\n\n\n\nThe 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.\n\nKey Responsibilities\n\n * Assist in the design and prototyping of Copilot / LLM\u2011enabled workflows for NPI process automation (e.g., issue analysis, repeat detection, decision support).\n * Explore and implement machine learning and information\u2011retrieval approaches (semantic search, embeddings, similarity detection) to improve reuse of lessons learned and historical engineering knowledge.\n * Support data preparation, labeling, and analysis across structured and unstructured sources (documents, BKMs, process logs, issue records).\n * Develop proof\u2011of\u2011concept solutions that demonstrate improvements in execution speed, accuracy, or recall quality for real NPI use cases.\n * Collaborate closely with NPI engineers, manufacturing teams, and software partners to understand workflows and validate solutions.\n * Evaluate solution performance and document findings, tradeoffs, and limitations for potential production adoption.\n\n\n\nMinimum Qualifications\n\n * Currently pursuing a Bachelor\u2019s, Master\u2019s, or Ph.D. degree in Computer Science, Data Science, Electrical Engineering, Industrial Engineering, or a related field\n * Coursework or project experience in machine learning, AI, data science, or information retrieval\n * Programming experience in Python (required); familiarity with data analysis libraries (NumPy, pandas, scikit\u2011learn)\n * Strong analytical thinking and ability to translate open\u2011ended problems into implementable solutions\n * Effective written and verbal communication skills\n * Ability to work in a collaborative, cross\u2011functional engineering environment\n\n\n\nPreferred Qualifications\n\n * Familiarity with large language models (LLMs), embeddings, or semantic search techniques\n * Experience with ML frameworks such as PyTorch, TensorFlow, or similar\n * Exposure to workflow automation, copilots, or RPA concepts\n * Interest in manufacturing, NPI, or complex engineering systems\n * Familiarity with AI\u2011assisted coding tools (e.g., GitHub Copilot or similar)\n\n\n\nWhy This Internship Is Unique\n\nUnlike generic AI internships, this role focuses on applying AI where correctness and repeatability matter, not just model accuracy. You\u2019ll work on problems where improved recall of lessons learned or a better decision recommendation can prevent real manufacturing issues and materially improve execution outcomes.\n\n## Qualifications\n\n### Education:\n\n### Skills\n\n### Certifications:\n\n### Languages:\n\n### Years of Experience:\n\n### Work Experience:\n\n## Additional Information\n\n### \n\n### Shift:\n\n10-Day 8-Hr (United States of America)\n\n### \n\n### Travel:\n\n### \n\n### Relocation Eligible:\n\nYes\n\n### Referral Payment Plan:\n\nNone\n\nApplied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All 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. \n