Foundry Automation Ml Engineer

Intel

Hillsboro, Oregon, United States
Base: $149,750.00-275,580.00 usd; bonus/equity: st...
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Python programming with unit testing
Mlops ci/cd and kubernetes experience
Deep learning frameworks pytorch tensorflow
** Intel is seeking a highly motivated Foundry Automation Machine Learning Engineer to develop AI-driven solutions for its semiconductor manufacturing processes. The ideal candidate will have strong programming skills, experience with ML frameworks, and a background in software engineering principles to build and maintain scalable ML pipelines. **

Job Summary

  • This role focuses on building cutting-edge machine learning workflows to automate Intel's silicon factories and reduce process variability.
  • Candidates will leverage containerization technologies like Docker and orchestration systems like Kubernetes to package and scale ML services.
  • The position offers a competitive total compensation package including stock bonuses, health benefits, and retirement programs.

Matching Summary

Match Score: 75

** Intel is seeking a highly motivated Foundry Automation Machine Learning Engineer to develop AI-driven solutions for its semiconductor manufacturing processes. The ideal candidate will have strong programming skills, experience with ML frameworks, and a background in software engineering principles to build and maintain scalable ML pipelines. **

Salary

Base: $149,750.00-275,580.00 USD; Bonus/Equity: Stock bonuses included; Benefits: Health, retirement, vacation

Skills & Requirements

Must-have

  • Python programming with unit testing
  • MLOps CI/CD and Kubernetes experience
  • Deep learning frameworks PyTorch TensorFlow
  • Image analytics libraries OpenCV
  • Algorithm optimization for CPUs GPUs

Nice-to-have

  • Semiconductor manufacturing domain knowledge
  • Fine-tuning Visual Language models
  • Prototype creation and demo skills
  • Complex problem-solving leadership
  • Cross-domain solution driving

Key Requirements

  • Bachelor's degree in CS or related field with 5+ years experience
  • Master's degree in CS or related field with 3+ years experience
  • PhD in CS or related field with 6+ months experience
  • Solid foundation in supervised and unsupervised learning algorithms

Work Rights

Not specified

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