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

Currently pursuing a Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Data Science, Electrical Engineering, Industrial Engineering, or 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

supportive work culture that encourages you to learn, develop, and grow your career
programs and support that encourage personal and professional growth

Copilot ML, Intelligent Automation Intern – NPI Process Automation Team

Key skills