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Computer Vision​/Machine Learning Intern

Job in Milpitas, Santa Clara County, California, 95035, USA
Listing for: KLA
Apprenticeship/Internship position
Listed on 2026-10-17
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 30000 - 42000 USD Yearly USD 30000.00 42000.00 YEAR
Job Description & How to Apply Below

To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale—faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology.

Group/Division The Semiconductor Products and Customers (Semi PC) business unit designs, builds and sells KLA’s product portfolio to help chip manufacturers meet high-quality standards for technologies like AI, data centers, automotive and electronic devices. Our inspection, metrology, and analytics systems detect and monitor defects across logic and memory chips, specialty semiconductors, wafers, reticles, advanced packaging, process equipment and materials. We also develop technologies for specialty processes, IC substrates, and PCB manufacturing, including etch and deposition, component inspection, and imaging and analytics.

The e-Beam division plays a critical role in KLA’s inspection ecosystem, with tools that deliver high-resolution, timely insights into defects and critical locations on the wafer. Used alongside KLA’s patterned and bare wafer inspectors, e-Beam systems help our customers quickly identify and understand yield-impacting issues—enabling faster, more effective actions to correct the manufacturing process.

What You'll Do

In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise. KLA is seeking applications for an Computer Vision/Machine Learning intern in Ebeam division to research and prototype cutting edge image processing and machine learning algorithms for our next-gen products. We are one of the pioneering companies in the Semi-Conductor industry to use Deep Learning algorithms for defect detection and classification.

In addition, we are actively exploring using Generative/Diffusion models for SEM image simulation and image quality enhancement.

Preferred Qualifications
  • Working experience in one of the following:
    Image Processing, Machine Learning, Computer Vision, Deep Learning.
  • Working knowledge in one of the following SW:
    Tensorflow, Pytorch, Python, MATLAB.
Minimum Qualifications

Students working towards a Master's or PhD Level Degree in Computer Science, Electrical Engineering or related field.

About KLA

We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us.

Total

Rewards Base Pay Range: $0.00 - $0.00

Primary

Location:

USA-CA-Milpitas-KLA

KLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to:

  • 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
  • and family care and bonding leave

Interns are eligible for some of the benefits listed.

Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state…

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