Intern – Data Analysis & Pattern Recognition AI / Data Science

Transform how the world uses information to enrich life for all as an AI / Data Science Intern, applying data analytics, machine learning, and statistical modeling to uncover actionable insights from large-scale semiconductor manufacturing and process datasets.

Requirements

• Currently pursuing a Bachelor's, Master's, or PhD in Electrical Engineering, Materials Science, Physics, Data Science, Computer Science, Statistics, Mathematics, AI, or a related field, and available for a semester-long internship.
• Exposure to or coursework in semiconductor physics, device fabrication, or manufacturing processes is preferred.
• Demonstrated proficiency in Python and SQL for data analysis.
• Experience with data visualization tools (e.g., Tableau, Power BI, Streamlit) is a plus.
• Familiarity with machine learning and statistical modeling to extract insights from complex datasets is a strong plus.
• Experience with cloud platforms (Azure, AWS, GCP) or big data tools (Spark, BigQuery) is a bonus.