AI-Enabled Quality Eng Intern — Semiconductors

1100 Micron SemiAsiaOP Pte Ltd

Singapore

On-site

SGD 13,000 - 20,000

Full time

13 days ago
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Job summary

Micron Technology, Inc. invites interns to join an AI-enabled quality engineering transformation project within semiconductor manufacturing.

You will work on analytics, AI/ML-driven workflow improvements, and data visibility enhancements across contamination control, incoming QC, or chemical analysis domains. The role emphasizes practical exposure to industrial data analytics, AI, automation, visualization, and cross-functional collaboration, with a five-month full-time commitment and potential

Qualifications

  • Strong analytical and statistical problem-solving skills.
  • Familiarity with Python, R, SQL, and data visualization.
  • Exposure to machine learning, Generative AI, AI agents, or AI-enabled workflows.
  • Ability to collaborate and document technical work clearly.
  • Bachelor's or master's student in engineering, data science, CS, or related field.

Responsibilities

  • Analyze engineering workflows to identify productivity improvements.
  • Develop AI-enabled digital solutions addressing real challenges.
  • Evaluate solutions with technical, usability, and business criteria.
  • Prepare final reports and presentations for department leaders.

Skills

Analytical skills
Statistical analysis
Python
R
SQL
Data visualization
Machine learning
Generative AI
Documentation & presentation
Cross-functional collaboration

Education

Engineering/Data Science student

Tools

Python
R
SQL

Job description

Micron Technology, Inc. invites interns to join an AI-enabled quality engineering transformation project within semiconductor manufacturing.

You will work on analytics, AI/ML-driven workflow improvements, and data visibility enhancements across contamination control, incoming QC, or chemical analysis domains. The role emphasizes practical exposure to industrial data analytics, AI, automation, visualization, and cross-functional collaboration, with a five-month full-time commitment and potential

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