Intern - NAND Product Engineering - Probe AI/ML
Core
Intern role applying AI and Agentic AI to semiconductor yield analysis, test optimization, and workflow automation.
Role type
Intern, IC Machine Learning Engineer (Semiconductor)
Builds
Predictive models for yield/reliability, Agentic AI prototypes for engineering workflows, structured data pipelines
Domain
Semiconductor manufacturing / Product Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, Pandas, NumPy, Scikit-learn, Regression, Decision Trees, Ensemble Learning, Boosting, 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, Microsoft Copilot Studio, Jira, Confluence, SharePoint, Azure, AWS
Responsibilities
Develop predictive models for yield and test-time optimization; Design Agentic AI prototypes for report generation and anomaly detection; Prepare and transform engineering datasets for ML workflows; Evaluate AI applications for engineering efficiency
Seniority
Intern
