Job Description
What You Will Learn & Do
- Machine Learning Development
- Assist in building predictive models for yield, reliability, and test‑time optimization using structured/tabular data.
- Explore ML techniques (regression, tree‑based models, boosting algorithms) to extract insights from probe, wafer, and manufacturing datasets.
- Support model evaluation, validation, and feature engineering workflows.
- Agentic AI & Engineering Automation
- Help develop AI agents that automate engineering tasks such as report generation, data processing, anomaly detection, or test program checks.
- Learn how agents interact with enterprise tools (e.g., JIRA, Confluence, SharePoint) and engineering platforms.
- Data Engineering & Integration
- Participate in data cleaning, transformation, and structuring of high‑volume semiconductor datasets.
- Work with cross‑functional teams to understand data ...