About The Position

Are you a computer vision engineer or researcher who loves working on challenging unsolved problems in a dynamic and collaborative environment? Have you lead a team taking a computer vision problem from invention to product? KLA could be for you. Come join our high performing team consisting of PhDs, machine vision and algorithm engineers building the next generation of AI enabled semiconductor inspection equipment. The successful candidate will grow their career in the LS-SWIFT algorithms group in California.

Requirements

  • Strong background in one or more of the following areas: machine Learning, deep learning, computer vision, image processing
  • Familiar with one of common deep learning frameworks like TensorFlow, PyTorch
  • Hands-on experience with training ML/AI models that have been deployed in a product
  • Ability to write model architectures from scratch, modify loss functions
  • Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years

Responsibilities

  • Designing, developing, modifying and diagnosing complex ML and DL algorithms
  • Ability to invent, 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 both independently and in a team environment.

Benefits

  • medical, dental, vision, life, and other voluntary benefits
  • 401(K) including company matching
  • employee stock purchase program (ESPP)
  • student debt assistance
  • tuition reimbursement program
  • development and career growth opportunities and programs
  • financial planning benefits
  • wellness benefits including an employee assistance program (EAP)
  • paid time off and paid company holidays
  • family care and bonding leave

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

Ph.D. or professional degree

Number of Employees

5,001-10,000 employees

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