KLA Careers

Machine Learning Research Position

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Company Overview

Calling the adventurers ready to join a company that's pushing the limits of nanotechnology to keep the digital revolution rolling. At KLA, we're making technology advancements that are bigger—and tinier—than the world has ever seen.

Who are we?  We research, develop, and manufacture the world's most advanced inspection and measurement equipment for the semiconductor and nanoelectronics industries. We enable the digital age by pushing the boundaries of technology, creating tools capable of finding defects smaller than a wavelength of visible light. We create smarter processes so that technology leaders can manufacture high-performance chips—the kind in that phone in your pocket, the tablet on your desk and nearly every electronic device you own—faster and better. We're passionate about creating solutions that drive progress and help people do what wouldn't be possible without us.  The future is calling. Will you answer?


At KLA, we research, develop, and manufacture the world's most advanced inspection and measurement equipment for the semiconductor industry. We enable the digital age by enabling the manufacture of ICs at the leading edge technology nodes (5 & 7 nm design rules). This is done by pushing the boundaries of optics, sensors, image processing, machine learning and computing technologies, creating systems capable of finding defects as small as 10 nm at data rates of 50 GB/second. If you are passionate about driving R&D in advanced deep learning, 3D sensor fusion, Bayesian & Physics based Machine Learning, advanced Neural & HPC architectures, come and join the over 200 PhD researchers working at KLA. We actively collaborate with research institutes all over the world with our R&D centers in the SF Bay Area, Shanghai, Tel-Aviv and Chennai. 

Artificial Intelligence Group at KLA: The mission of the AI group is to foster R&D collaborations across the product groups at KLA to help them solve our customer’s hardest challenges based on leading AI technologies. The group is also chartered with exploring the boundaries of computing both in traditional HPC as well as exotic computing including areas such as analog processors, optical and quantum computing.


This position will focus on exploring research in the areas of Machine Learning, Deep Learning and Optimization with the aim of building automated machine vision systems in a range of application areas from semi-conductors to satellite scene analysis to driverless cars. The ideal candidate should have a PhD in Machine Learning or the related areas of Image Processing, Computer Vision with an emphasis on Bayesian based machine learning with extensive software skills to build and research machine learning systems.

Job Description Breakdown

  • Work on semiconductor imaging data to frame a problem, from mathematical, physical and business perspective
  • Design and perform experimental data analysis to gain deep understanding of the problem
  • Prototype new machine learning, deep learning, image processing algorithms
  • Write production modeling code at scale for high data rate systems


  • Ph.D. or Master's degree in Electrical Engineering, Computer Science, Statistics or related quantitative fields
  • 2+ years of professional or research experience in one or more of the following areas: image processing, machine learning, deep learning or artificial intelligence. Dissertation and Thesis research experience also counts
  • Experience in designing, validating and testing complex learning models - core experiences in Conv Nets, Reinforcement Learning and Generative models
  • Excellent problem solving and analytical skills
  • Proficiency in Python, Java, C/C++, R
  • Technical publication, patent, and open source project experience in machine learning, deep learning, image processing are a plus

Minimum Qualifications

  • Doctorate (Academic) OR
  • Master's Level Degree with at least 2 years of experience OR
  • Bachelor's Level Degree with at least 3 years of experience

Equal Employment Opportunity

KLA is an Equal Opportunity Employer. Applicants will be considered for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristics protected by applicable law.

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