About the role
AI summarisedJoin Micron Technology to apply your passion for innovation in Machine Learning and AI within Product Engineering. This internship offers hands-on experience building predictive models, developing agentic AI solutions, and contributing to high-volume semiconductor data pipelines.
IDMOnsiteSTPG
Key Responsibilities
- 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.
- Help develop AI agents to automate engineering tasks like report generation, data processing, anomaly detection, or test program checks.
- Participate in data cleaning, transformation, and structuring of high-volume semiconductor datasets.
- Identify potential areas where AI can improve test efficiency, yield, or engineering productivity.
Requirements
- Interest in Machine Learning and AI applications.
- Ability to work with structured/tabular data.
- Willingness to learn about semiconductor manufacturing processes.
- Strong analytical problem-solving skills.
- Interest in data engineering and pipeline contribution.