Intern - NAND Product Engineering - Probe AI/ML
Core
Intern developing Machine Learning models and Agentic AI prototypes for semiconductor yield analysis, test optimization, and workflow automation.
Role type
Intern, Machine Learning Engineer (Semiconductor)
Builds
Predictive models for yield/reliability, Agentic AI prototypes for engineering workflows, structured data pipelines
Domain
Semiconductor manufacturing, Yield management, Test optimization
Deliverable
production ML models
Required skills
Python, Pandas, NumPy, Scikit-learn, Regression, Decision trees, Feature engineering, Model validation
Preferred skills
TensorFlow, PyTorch, LangChain, Microsoft Copilot Studio, MLOps, Cloud AI (Azure/AWS)
Technologies
Python, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, LangChain, Jira, Confluence, SharePoint, Azure, AWS
Responsibilities
Develop predictive models for yield and reliability; Design Agentic AI prototypes for automation; Prepare and clean engineering datasets; Evaluate AI applications for engineering efficiency; Document project approach and findings
Seniority
Intern
