AI-Driven Photomask Yield Analytics Intern

1000 Micron Technology, Inc.; Boise (ID); On-site; USD 28,000 - 41,000; Part time

Job summary

Micron Technology, Inc. is offering an analytics internship in the Yield Enhancement group. You will analyze manufacturing and yield data to identify trends, build dashboards, and apply statistical methods and ML to improve processes.

You will collaborate with Process Engineering and Manufacturing teams to deliver an end-to-end analytics project with measurable impact. The role emphasizes statistical modeling, automation, and AI-enabled problem solving to strengthen engineering decisions and

Qualifications

• Pursuing BS, MS, or PhD in a quantitative field such as data science, CS, statistics, applied math, or engineering.
• Senior undergraduate or higher by internship start date.
• Cannot graduate before September 2027.
• Experience with Python, R, SQL, JMP or similar analytics tools.
• Experience with statistical analysis, data modeling, or large dataset analysis.
• Ability to translate analytical results into actionable engineering insights.

Responsibilities

• Analyze manufacturing, process, quality, and yield data to identify trends and improvement opportunities.
• Develop dashboards, visualizations, and automated reports supporting decision-making.
• Apply statistical methods and machine learning to investigate yield loss mechanisms and process variation.
• Collaborate with Yield Enhancement, Process Engineering, Process Integration, and Manufacturing teams on process optimization.
• Deliver an end-to-end analytics project with measurable impact through yield improvement, cycle-time reduction, or reporting automation.

Skills

Python

R

SQL

JMP

Statistics

Data modeling

Communication of insights

Education

Pursuing BS/MS/PhD in data science/CS/statistics/engineering

Tools

JMP

Tableau

Power BI

Job description

Micron Technology, Inc. is offering an analytics internship in the Yield Enhancement group. You will analyze manufacturing and yield data to identify trends, build dashboards, and apply statistical methods and ML to improve processes.

You will collaborate with Process Engineering and Manufacturing teams to deliver an end-to-end analytics project with measurable impact. The role emphasizes statistical modeling, automation, and AI-enabled problem solving to strengthen engineering decisions and