Internship: ML-Driven Image KPIs for EUV Alignment

ASML; 4S Ranch (CA); On-site; USD 23,000 - 73,000; Full time

Job summary

ASML US, LLC in San Diego, California, offers an internship focused on ML and image-based metrics for EUV system setup. You will develop KPIs describing laser-to-Sn alignment using high-speed images from controlled experiments.

You will apply machine learning and image processing to extract features, create KPIs, and validate them against performance data while communicating findings. Ideal candidates study CS, controls, physics, or applied math and have Python ML experience.

Qualifications

• Must be pursuing a bachelor’s or master’s degree in computer science, control systems, physics, applied mathematics, or a related technical field.
• Knowledge or experience using Python for data analysis.
• Familiar with ML/AI-based image analysis methods.
• Ability to analyze technical data and communicate findings and recommendations.

Responsibilities

• Collect high-speed image data from controlled experiments.
• Extract relevant image features using image processing and ML/AI methods.
• Develop image-based KPIs that summarize the relevant information.
• Validate KPIs against performance measurements and robustness across conditions.

Skills

Python for data analysis

ML/AI-based image analysis

Analytical skills

Communication of findings

Independent work

Education

Bachelor’s or Master’s degree in CS/Control systems/Physics/Applied Mathematics

Job description

ASML US, LLC in San Diego, California, offers an internship focused on ML and image-based metrics for EUV system setup. You will develop KPIs describing laser-to-Sn alignment using high-speed images from controlled experiments.

You will apply machine learning and image processing to extract features, create KPIs, and validate them against performance data while communicating findings. Ideal candidates study CS, controls, physics, or applied math and have Python ML experience.