Intern – ML/AI Engineer (Product Engineering, STPG)
Core
Building predictive models for yield, reliability, and test-time optimization using structured/tabular data in semiconductor manufacturing, and developing AI agents to automate engineering tasks.
Role type
Intern – ML/AI Engineer (Product Engineering)
Builds
Predictive models for yield/reliability, AI agents for engineering automation, and internal prototypes/demos.
Domain
Semiconductor manufacturing / Data Science
Deliverable
production ML models | product features
Required skills
Regression, tree-based models, boosting algorithms, feature engineering, data cleaning, data transformation, model evaluation, validation, data integration, cross-functional collaboration
Preferred skills
Experience with enterprise tools (JIRA, Confluence, SharePoint), technical writing, innovation project management
Technologies
Structured/tabular data, wafer/manufacturing datasets, JIRA, Confluence, SharePoint
Responsibilities
Assist in building predictive models for yield and reliability; Explore ML techniques to extract insights from manufacturing datasets; Support model evaluation and feature engineering; Help develop AI agents for engineering automation; Participate in data cleaning and transformation of high-volume datasets; Identify areas for AI improvement in test efficiency and productivity.
Seniority
Intern
