AI-Enabled Quality Lab Intern (Semiconductor)

Micron

Singapore

On-site

SGD 17,000 - 23,000

Full time

5 days ago
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Job summary

Micron Technology, Inc. in Singapore is seeking an intern for AI-enabled quality engineering transformation in semiconductor manufacturing.

You will develop analytics skills and work on contamination control, incoming QC, or chemical lab analysis through AI, automation, and data visualization tools. The program offers a full-time five-month internship, exposure to Python, R, SQL, and ML techniques, and collaboration with cross-functional engineering teams to deliver practical digital solutions

Qualifications

  • Strong analytical, statistical, and structured problem-solving skills.
  • Familiarity with Python, R, Structured Query Language, data visualization, or equivalent analytical tools.
  • Familiarity with machine learning, Generative AI, Large Language Models, AI Assistants, AI Agents, or other AI-Enabled workflows.

Responsibilities

  • Analyze engineering workflows within contamination control, incoming quality control, and/or chemical laboratory analysis.
  • Develop digital solutions that enhance data visibility, reporting efficiency, and engineering decision-making.
  • Apply Generative AI, Large Language Models, AI Agents, ML, and statistical techniques to enhance inspection strategies, automate quality-data analysis, or improve anomaly detection.
  • Develop and evaluate a prototype, dashboard, analytical model, Agentic Solution, or automated workflow for the selected use case.
  • Present project deliverables to department leaders and include final reports and presentations.

Skills

Analytical ability
Python
R
SQL
Data visualization
Machine learning
Generative AI
AI Agents
Collaboration

Education

Engineering degree

Job description

Micron Technology, Inc. in Singapore is seeking an intern for AI-enabled quality engineering transformation in semiconductor manufacturing.

You will develop analytics skills and work on contamination control, incoming QC, or chemical lab analysis through AI, automation, and data visualization tools. The program offers a full-time five-month internship, exposure to Python, R, SQL, and ML techniques, and collaboration with cross-functional engineering teams to deliver practical digital solutions

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