About the role
AI summarisedInternship role at Micron Technology focusing on ML/AI engineering within product engineering. The intern will assist in building predictive models for semiconductor manufacturing, develop AI agents for automation, and work with cross-functional teams on data engineering and innovation projects.
IDMFull-timeSTPG
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 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.
- Participate in data cleaning, transformation, and structuring of high‑volume semiconductor datasets.
- Work with cross‑functional teams to understand data sources and how they feed into ML/AI pipelines.
- Identify potential areas where AI can improve test efficiency, yield, or engineering productivity.
- Contribute to internal prototypes, demos, and best‑practice documentation.
- Opportunities to support technical papers or innovation submissions where applicable.
- Work with senior engineers and CDS mentors to learn how AI knowledge is transferred within Product Engineering.
- Participate in training sessions, bootcamps, or hands‑on CDS learning exercises.
Requirements
- Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.
- Assist in building predictive models for yield, reliability, and test‑time optimization using structured/tabular data.
- Work with senior engineers and CDS mentors to learn how AI knowledge is transferred within Product Engineering.
- All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
- AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.