Algorithm Engineering Intern: AI & Imaging for Chips

KLA Corporation; Ann Arbor (MI); In loco; USD 55.000 - 69.000; Tempo pieno

Vantaggi offerti da questo lavoro

Healthcare benefits

401(k) matching

Employee stock purchase program (ESPP)

Tuition reimbursement

Descrizione del lavoro

KLA Corporation in Ann Arbor, MI seeks a graduate student intern with a strong background in signal and image processing, machine learning, and mathematical modeling. You will contribute to advancing product intelligence by analyzing complex measurement data and developing scalable software tools for KLA products.

As part of a collaborative team, you will explore traditional and deep learning techniques, prototype new methods, and help reduce compute costs while improving accuracy.

Competenze

• Pursuing a Master’s or PhD in a relevant field.
• Strong foundation in signal processing and ML.
• Experience with imaging data and AI modeling is a plus.

Mansioni

• Work with traditional and deep learning algorithm techniques, such as optical, physical, and mathematical modeling, inverse problems, and AI models to meet and improve results on KLA products.
• Experiment with new and novel techniques to improve results or reduce compute cost of various modeling techniques for processing and analyzing measurement spectra and images.
• Build signal/image processing and analysis tools for more efficient experimentation.
• Manage measurement and imaging data used for training and experimentation of AI and physics modeling systems.
• Develop software tools and solutions processing and analyzing measurements and images for KLA products.

Conoscenze

Signal processing

Image analysis

Machine learning

Mathematical modeling

AI models

Formazione

Master's degree or PhD

Strumenti

Python

Matlab

TensorFlow

Descrizione del lavoro

KLA Corporation in Ann Arbor, MI seeks a graduate student intern with a strong background in signal and image processing, machine learning, and mathematical modeling. You will contribute to advancing product intelligence by analyzing complex measurement data and developing scalable software tools for KLA products.

As part of a collaborative team, you will explore traditional and deep learning techniques, prototype new methods, and help reduce compute costs while improving accuracy.