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 sources and how they fee...

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