Senior AI/ML Product Engineer for NAND Yield

Micron Technology, Inc.

Singapore

In loco

SGD 120.000 - 180.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Micron Technology, Inc. in Singapore seeks a strong ML/AI-focused Product Engineering professional to develop predictive models and scalable AI solutions for NAND manufacturing.

You will collaborate with Fab, Technology Development, Test, Quality, and System teams to improve yield, reliability, and test time across the product lifecycle. The role emphasizes mentoring Citizen Data Scientists, building end-to-end ML workflows, and integrating AI agents with enterprise systems.

Competenze

  • Bachelor/Master in relevant engineering/science field with 3+ years AI/ML work experience.
  • Strong Python and data processing skills with ML for structured data.
  • Experience with ML/DL frameworks for images/text/logs is a plus.

Mansioni

  • Develop and deploy predictive/diagnostic ML models for yield, test time, and cost optimization.
  • Build end-to-end ML workflows for NPI and HVM decision-making.
  • Design agentic AI solutions to automate Product Engineering workflows.
  • Mentor Citizen Data Scientists and enable scalable ML adoption.

Conoscenze

Python
ML/AI
Data processing
Structured data modelling
Cross-functional collaboration

Formazione

Bachelor's/Master's in Electrical/CS/Data Science
3+ years AI/ML experience

Strumenti

TensorFlow
PyTorch
LangChain
Azure ML/AWS SageMaker

Descrizione del lavoro

Micron Technology, Inc. in Singapore seeks a strong ML/AI-focused Product Engineering professional to develop predictive models and scalable AI solutions for NAND manufacturing.

You will collaborate with Fab, Technology Development, Test, Quality, and System teams to improve yield, reliability, and test time across the product lifecycle. The role emphasizes mentoring Citizen Data Scientists, building end-to-end ML workflows, and integrating AI agents with enterprise systems.

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