AI/ML Computer Vision Engineer for Semiconductors

KLA

Milpitas (CA)

On-site

USD 141,000 - 239,000

Full time

13 days ago

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Benefits offered by this job

Medical
Dental
Vision
Life Insurance
401K and company matching
Employee stock purchase program (ESPP)
Tuition reimbursement
Career growth opportunities
Wellness benefits
Paid time off

Job summary

KLA is seeking a machine learning-focused engineer in Milpitas to design, develop, and diagnose complex ML/DL algorithms for advanced semiconductor imaging and inspection systems. You will prototype new image processing ideas and deploy them within products, collaborating with software and hardware teams.

The role requires hands-on ML experience, knowledge of TensorFlow or PyTorch, and the ability to write and modify model architectures and loss functions.

Qualifications

  • Strong background in machine learning, deep learning, computer vision, image processing.
  • Familiar with deep learning frameworks like TensorFlow, PyTorch.
  • Hands-on experience with training ML/AI models deployed in a product.
  • Ability to write model architectures from scratch, modify loss functions.

Responsibilities

  • Designing, developing, modifying and diagnosing complex ML and DL algorithms
  • Prototype and deploy new image processing algorithms and ideas
  • Hands-on experience in object-oriented and functional programming
  • Excellent written and verbal communication skills
  • Ability to work independently and in a team environment

Skills

Machine Learning
Deep learning
Computer vision
Image processing
TensorFlow
PyTorch

Education

PhD Level Degree
Master's Level Degree
Bachelor's Level Degree

Tools

None

Job description

KLA is seeking a machine learning-focused engineer in Milpitas to design, develop, and diagnose complex ML/DL algorithms for advanced semiconductor imaging and inspection systems. You will prototype new image processing ideas and deploy them within products, collaborating with software and hardware teams.

The role requires hands-on ML experience, knowledge of TensorFlow or PyTorch, and the ability to write and modify model architectures and loss functions.

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