AI-Enabled NAND Device Engineering Intern

Micron Technology, Inc

Singapore

On-site

SGD 20,000 - 27,000

Full time

7 days ago
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Job summary

Micron Technology, Inc. in Singapore is seeking an AI/Data Science Intern in the NAND Device Engineering group. You will apply AI, ML, and automation to semiconductor datasets to speed up device characterization and improve data-driven decisions.

Work closely with experienced engineers to develop AI-enabled workflows, dashboards, and automated reporting. This internship offers practical experience and may lead to full-time opportunities based on performance.

Qualifications

  • Strong programming in Python and experience developing data analysis, automation, or software solutions.
  • Knowledge of machine learning, deep learning, data science, or AI concepts through coursework, projects, or research.
  • Familiarity with data processing libraries and frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, LangChain, or similar technologies.

Responsibilities

  • Design and develop AI-enabled workflows for automating device characterization data collection, analysis, anomaly detection, and reporting.
  • Apply ML, statistical modeling, and Agentic AI techniques to identify performance trends and generate insights from large-scale datasets.
  • Create automated data pipelines for extraction, cleansing, feature engineering, and integration from characterization sources.
  • Develop dashboards, visualization tools, and AI Assistant capabilities for data exploration and knowledge retrieval.
  • Evaluate Generative AI, LLMs, and Agentic Solutions for engineering workflow automation and reporting.

Skills

Python
Data analysis
Machine learning
Pandas
NumPy
Scikit-learn
TensorFlow
PyTorch
LangChain

Education

Bachelors/Masters/PhD in CS/AI/related

Tools

Pandas
NumPy
Scikit-learn
TensorFlow
PyTorch
LangChain

Job description

Micron Technology, Inc. in Singapore is seeking an AI/Data Science Intern in the NAND Device Engineering group. You will apply AI, ML, and automation to semiconductor datasets to speed up device characterization and improve data-driven decisions.

Work closely with experienced engineers to develop AI-enabled workflows, dashboards, and automated reporting. This internship offers practical experience and may lead to full-time opportunities based on performance.

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