# Internship -  Machine Learning and image-based EUV system setup at ASML

ASML is hiring an Internship -  Machine Learning and image-based EUV system setup in San Diego, United States. It pays $17-$53/hr and Level rates it Little AI ●○○○; you can [apply on ASML](https://jobsbylevel.com/go/9b7eaefb-a700-4253-b2a4-12b8f9e5a257?utm_medium=ai-agent).

AI Level 1, AI centrality 13 out of 100. San Diego, CA, USA.

## Details

- Company: [ASML](https://jobsbylevel.com/companies/asml)
- AI level: AI Level 1 (score 13 out of 100)
- Location: San Diego, CA, USA
- Salary: $17-$53/hr
- Posted: November 4, 2026
- Apply: https://jobsbylevel.com/go/9b7eaefb-a700-4253-b2a4-12b8f9e5a257?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=internship-machine-learning-and-image-based-euv-system-setup-at-asml-7b54f3

## Description

Internship - Machine Learning and image-based metrics for EUV system setup Introduction ASML US, including its affiliates and subsidiaries, bring together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market and service these advanced machines, which enable our customers - the world’s leading chipmakers - to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, Netherlands and we have 18 office locations around the United States including main offices in Chandler, Arizona, San Jose and San Diego, California, Wilton, Connecticut, and Hillsboro, Oregon. Your Assignment In ASML EUV Light Sources, high power lasers interact with Sn material to create the Plasma that generates EUV light. Achieving the correct alignment between the lasers and the Sn material is essential for efficient and stable operation. High-speed camera images captured during EUV formation contain valuable spatial information about this interaction. Your goal will be to develop image-based Key Performance Indicator (KPIs) that describe the alignment between lasers and Sn material. . Key Idea and Deliverables You will apply machine learning, and image analysis techniques to high-speed images collected during controlled experiments. The objective is to identify image characteristics that reliably indicate good laser-to-Sn alignment, and translate them into simple, measurable KPIs. The project will involve: Collecting and organizing high-speed image data from controlled experiments Extract relevant image features using a mix of conventional image-processing techniques and/or explore ML/AI methods Develop one or more image-based KPIs that summarize the relevant information Validate the propose KPIs against performance measurements, and their robustness across different operating conditions Success Criteria Identification of image-based KPIs that show clear, repeatable trends with laser and Sn material alignment quality and demonstrate improved observability compared to current methodology in use on EUV sources. . Your Profile · 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. Skills Working at the cutting edge of tech, you will always have new challenges and new problems to solve – and working together is the only way do that. You will not work in a silo. Instead, you will be part of a creative, dynamic work environment where you will collaborate with supportive colleagues. There is always space for creative and unique points of view. You will have the flexibility and trust to choose how best to tackle tasks and solve problems. To thrive in this job, you will need the following skills: Analytical and problem-solving skills Ability to work with image datasets and corresponding metadata Ability to apply clustering, dimensionality reduction, or supervised learning methods Ability to work independently and collaborate with technical stakeholders Clear written and verbal communication · Attention to detail and accuracy · Ability to document analysis in scripts, notebooks, and technical reports · Ability to learn new technical concepts and methods · Result-oriented approach · Proficient use of Microsoft Office suite programs Other Information · This position is located on-site in San Diego, California. It requires onsite presence to attend in-person work-related events, trainings and meetings and to further ensure teamwork, collaboration and innovation. · Routinely required to sit; walk; talk; hear; use hands to keyboard, finger,

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Source: https://jobsbylevel.com/jobs/internship-machine-learning-and-image-based-euv-system-setup-at-asml-7b54f3

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