Data Science / AI Engineer - Military Veterans

Position Overview

ASML US brings together the most creative minds in science and technology to develop advanced lithography machines. As a Data Science/AI Engineer on the EUV Source Performance team in San Diego, you will play a pivotal role in extracting maximum business value from data while supporting the commercialization and continuous enhancement of EUV technology. This individual contributor role requires a deep understanding of multiple engineering disciplines, strong technical and analytical skills, and the ability to collaborate cross-functionally.

Key Responsibilities

• Contribute to the technical roadmap for data science and AI activities that support the product roadmap and business objectives.
• Participate in the end-to-end AI and data science lifecycle—including data collection, preprocessing, model deployment, and monitoring—and collaborate on complex problem solving.
• Apply theoretical models and novel experimental techniques to quantitatively interpret the performance of EUV source systems across multiple technical disciplines.
• Produce clear technical documentation, present results, and align with cross-functional teams including engineering, IT, manufacturing, and global customer support.
• Travel as required to customer sites and other ASML locations for reporting, alignment, and collaboration.
• Complete administrative responsibilities such as service and expense reports per company procedures.

Required Qualifications

• MS in Computer Science, Data Science, or Machine Learning (PhD preferred). Candidates with a Physics background and data science specialization will also be considered.
• Minimum of 3 years’ experience in a similar role; experience in the semiconductor industry is a plus.
• Significant experience with cloud and development environments such as Azure Kubernetes Service (AKS), Google Distributed Cloud Edge (GDCE), Apache Spark, Azure Databricks, Python, MATLAB, and MLFlow.
• Proven expertise in designing and implementing machine learning and deep learning architectures using frameworks like TensorFlow and PyTorch.
• Experience with Natural Language Processing (NLP), Computer Vision, containerization technologies (Docker, Kubernetes), and using GPU/TPU hardware accelerators.
• Excellent analytical, troubleshooting, and communication skills with the ability to summarize complex data effectively.
• Strong interpersonal skills to facilitate cross-functional collaboration and effectively work with diverse teams.
• Ability to define and execute tasks with minimal supervision and across multiple engineering disciplines.

Benefits & Perks

• Compensation: Base annual salary range is indicated as $0-0; pay scales are determined by role, level, location, and market data, with individual pay based on various candidate-specific factors.
• Hybrid work schedule (3 days onsite/2 days remote) with mandatory onsite presence for key events, training, and team collaboration.
• The Company offers comprehensive benefits including medical, dental, vision, and basic life insurance, as well as a 401k plan.
• Generous leave policy with eight (8) hours of vacation leave accrued per month and 13 paid holidays throughout the calendar year.