Computer Vision/Machine Learning Intern

KLA•Milpitas, CA

1d•Onsite

About The Position

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. 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.

Requirements

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

Responsibilities

Research and prototype cutting edge image processing and machine learning algorithms for next-gen products.
Use Deep Learning algorithms for defect detection and classification.
Explore using Generative/Diffusion models for SEM image simulation and image quality enhancement.