Intern – Data Analysis & Pattern Recognition AI / Data Science

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.

Title AI / Data Science Intern – Data Analysis & Pattern Recognition

Role Overview As an AI / Data Science Intern, you will apply data analytics, machine learning, and statistical modeling to uncover actionable insights from large-scale semiconductor manufacturing and process datasets. You will focus on identifying data patterns, detecting anomalies, building predictive models, and translating findings into clear recommendations that drive better decision-making across the semiconductor technology development lifecycle.

Key Responsibilities Perform exploratory data analysis on large datasets to uncover patterns, trends, correlations, and anomalies relevant to semiconductor process and manufacturing data.

Build and evaluate machine learning models (classification, regression, clustering, time-series) for predictive analytics and pattern discovery.

Conduct statistical analysis including hypothesis testing, regression analysis, and A/B testing evaluation.

Apply anomaly detection techniques to identify deviations and emerging trends in process, inline, and electrical datasets.

Create visualizations and dashboards to communicate insights to technical and non-technical audiences.

Develop data pipelines for data extraction, cleaning, and feature engineering.

Collaborate with cross-functional teams including process engineering, manufacturing, and data science partners to scope projects and deliver actionable recommendations.

Communicate results with strong explainability, including feature importance and trend narratives.

Work independently with a high level of self‑motivation, time management, and prioritization skills.

Deliver a complete intern project package, including code/notebooks, documentation, and presentation-ready summaries.

Education And Experience Currently pursuing a Bachelor's, Master's, or PhD in Electrical Engineering, Materials Science, Physics, Data Science, Computer Science, Statistics, Mathematics, AI, or a related field, and available for a semester-long internship.

Exposure to or coursework in semiconductor physics, device fabrication, or manufacturing processes is preferred.

Demonstrated proficiency in Python and SQL for data analysis.

Experience with data visualization tools (e.g., Tableau, Power BI, Streamlit) is a plus.

Familiarity with machine learning and statistical modeling to extract insights from complex datasets is a strong plus.

Experience with cloud platforms (Azure, AWS, GCP) or big data tools (Spark, BigQuery) is a bonus.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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 arti