KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
Job Description/Preferred Qualifications
Core Responsibilities
1. Design, tune, and evaluate deep learning architectures (e.g., U-Nets, YOLO variants).
2. Explore new modelling approaches and conduct comparative experiments for new challenges
3. Lead data purification efforts: filtering, augmentation, and dataset optimization, have in mind transfer learning.
4. Define success metrics and analyze model performance across tasks.
5. Present findings clearly through visualizations, reports, and internal reviews.
6. Collaborate on deployment strategy by identifying the best algorithmic solutions for real-world constraints.
Minimum Qualifications
Qualifications/Requirements:
Required: Phd with 5 years of experience or MS/MTech degree with 8 or more years of Algorithm development experience.
Required: Strong background in deep learning and computer vision.
Required: Hands-on experience with PyTorch and model training workflows.
Required: Ability to communicate complex ideas clearly and lead technical discussions.
Preferred: Experience with experiment tracking tools (e.g., TensorBoard, W&B).
Preferred: Familiarity with cross-platform development and system integration.
We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.
KLA is proud to be an equal opportunity employer
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KLA’s Careers website
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talent.acquisition@kla.com
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