Job Description

Join KLA's BBP Algorithm team as a full-time summer intern, where you'll advance AI/ML models for defect detection and improve production tools used in semiconductor manufacturing through cutting-edge computer vision and deep learning techniques.

Requirements

Currently pursuing MS or PhD in Computer Science, Electrical/Computer Engineering, Mathematics, Physics, or related field (exceptional BS candidates considered)
Hands-on experience training deep learning models for vision (classification, detection, segmentation, or anomaly)
Strong foundations in linear algebra, probability/statistics, and optimization
Proficiency with Python and modern DL frameworks (PyTorch or TensorFlow) on Linux
Solid software fundamentals (Git, testing, code review)

Responsibilities

Advance AI/ML models for defect detection, classification, and anomaly discovery on real wafer imagery
Curate and engineer datasets to maximize label efficiency and generalization
Train, evaluate, and iterate using modern deep learning frameworks
Prototype algorithmic ideas and transition the best candidates into production-quality code
Optimize for scale and speed to meet on-tool and near-real-time constraints
Collaborate cross-functionally with system engineering and software teams