AI-Enabled Device Characterization Intern

Micron Technology

Singapore

On-site

SGD 19,000 - 28,000

Full time

2 days ago
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Job summary

Micron Technology, a leader in memory and storage solutions, offers an AI/DS internship within the NAND Device Engineering group in Singapore. You will apply Python-based data science techniques to automate device characterization, build ML models, and develop AI-enabled workflows and dashboards for engineering analytics.

You will collaborate with experienced engineers, gain exposure to large-scale semiconductor data, and contribute to intelligent reporting tools while learning Generative AI

Qualifications

  • Strong programming in Python with data analysis, automation, or software development experience.
  • Knowledge of ML/DL concepts and data science techniques through courses, projects, or research.
  • Exposure to data visualization, dashboards, and AI-enabled workflows is desirable.

Responsibilities

  • Design and develop AI-enabled device characterization workflows for automation and data analysis.
  • Build ML/Agentic AI models to identify patterns and generate engineering insights from large datasets.
  • Create data pipelines for extraction, cleansing, feature engineering, and integration from characterization sources.
  • Develop interactive dashboards and AI assistant capabilities for engineers to explore data and generate reports.

Skills

Python
Data analysis
Machine learning
AI/DS concepts
LangChain
Pandas
NumPy
Scikit-learn
TensorFlow
PyTorch

Education

Bachelor's degree in CS/Data Science/AI
Master's degree in related field
PhD in related field

Tools

Pandas
NumPy
Scikit-learn
TensorFlow
PyTorch
LangChain

Job description

Micron Technology, a leader in memory and storage solutions, offers an AI/DS internship within the NAND Device Engineering group in Singapore. You will apply Python-based data science techniques to automate device characterization, build ML models, and develop AI-enabled workflows and dashboards for engineering analytics.

You will collaborate with experienced engineers, gain exposure to large-scale semiconductor data, and contribute to intelligent reporting tools while learning Generative AI

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