Image Processing & ML Research Intern

KLA Corporation; Milpitas (CA); On-site; USD 68,000 - 80,000; Full time

Job summary

KLA Corporation invites master's or Ph.D. students to contribute to cutting-edge projects in image analysis and machine learning for semiconductor inspection. You will work with engineering and scientific teams, applying CV/ML methods to datasets and documenting results for future development.

This internship offers hands-on experience in a high-tech environment in Milpitas, CA, with opportunities to learn and grow while supporting industry-leading process control and yield management solutions.

Qualifications

• Pursuing a Master's or Ph.D. in a relevant field.
• Experience in image processing, image analysis, computer vision, or computational imaging.
• Machine learning or deep learning experience.
• Strong Python programming skills.
• Solid foundation in statistics.
• Strong analytical and problem-solving skills, curiosity, and willingness to learn unfamiliar methods and application areas.
• Ability to work independently and collaboratively, and clearly communicate technical findings.

Responsibilities

• Investigate image processing, computer vision, and machine learning methods relevant to semiconductor inspection.
• Implement, adapt, and evaluate methods on optical and/or scanning electron microscope image datasets.
• Develop reproducible analyses and benchmarks to compare methods and understand their strengths, limitations, and suitability for the data.
• Collaborate with scientists and engineers to interpret results and draw conclusions that inform future research and development.
• Document methods and findings, and present results and recommendations to the team.

Skills

Python

Statistics

Machine learning

Analytical thinking

Communication

Education

Master's or PhD student in a related field

Tools

Python

Job description

KLA Corporation invites master's or Ph.D. students to contribute to cutting-edge projects in image analysis and machine learning for semiconductor inspection. You will work with engineering and scientific teams, applying CV/ML methods to datasets and documenting results for future development.

This internship offers hands-on experience in a high-tech environment in Milpitas, CA, with opportunities to learn and grow while supporting industry-leading process control and yield management solutions.