Our vision is to transform how the world uses information to enrich life for all.

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.

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 feed into ML/AI pipelines.
Innovation & Projects
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.
Exposure to Citizen Data Scientist (CDS) Enablement
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.

Who We're Looking For

Education

Pursuing a Bachelor's or Master's degree in:

Computer Science
Electrical/Electronic Engineering
Data Science / Analytics
or related technical field

Core Skills (Good To Have, Not All Required)

Basic Python knowledge (Pandas, NumPy, Scikit‑learn).
Familiarity with ML concepts for structured data (regression, decision trees, feature engineering).
Interest in AI agents, LLMs, or workflow automation.

Bonus Skills (Nice-to-Have Exposure)

Experience with TensorFlow/PyTorch for image/text/log data.
Awareness of agentic AI frameworks (LangChain, Copilot Studio).
Understanding of MLOps concepts (model lifecycle, deployment).
Interest in cloud AI (Azure, AWS).
Prior coursework or projects in ML, data engineering, or automation.

Soft Skills

Curiosity and willingness to learn.
Strong analytical thinking.
Good communication and comfort working with engineering teams.

Why This Internship Is Valuable

Be part of real semiconductor engineering and manufacturing analytics.
Build portfolio-ready AI/ML projects with meaningful operational impact.
Get mentored by experienced Product Engineers and AI specialists.
Gain exposure to CDS training pathways — a unique opportunity to grow into full-time PE or CDS roles.
Contribute to innovation, automation, and next‑generation engineering workflows.

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers

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.

To request assistance with the application process and/or for reasonable accommodations, please contact [HIDDEN TEXT]

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

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.

Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Intern – ML/AI Engineer (Product Engineering, STPG)