Intern - F10 PHOTO PEE
Core
Apply data analytics and machine learning to large-scale semiconductor quality datasets for drift detection and workflow automation.
Role type
Intern, Data Science & Machine Learning
Builds
AI-enabled quality monitoring models, automated engineering workflows, and visualization tools for process control.
Domain
Semiconductor manufacturing (Photolithography) + Data Science
Deliverable
production ML models | product features
Required skills
Python or R programming, data analytics, statistics, machine learning, data visualization, multivariable analysis
Preferred skills
AI tools, optimization concepts, curve turning-point detection
Technologies
Python, R, SQL (implied by data querying), ML frameworks
Responsibilities
Develop analytical models for quality metric monitoring, analyze large-scale test and measurement datasets, create automated workflows, build visualization solutions for quality trends.
Seniority
Intern
