Veldhoven, Netherlands
Internship Explorer
Internship Explorer
The Wafer Alignment team develops the strategies that correct wafer deformation and minimize overlay errors in advanced lithography systems. Today, simulations that support alignment decisions require significant compute due to a large configuration space. Our group recently created a promising proof‑of‑concept machine learning model that reduces this load. The next challenge is to understand how such a model can be used in a real product environment. In this AI | Computer Science internship: ML integration, you help explore how machine learning can fit into a full software lifecycle at ASML. Your assignment In this internship you investigate how a prototype machine learning approach can be embedded into alignment software. You work with experts to understand current workflows and identify what is needed for reliable ML‑based functionality. You explore data flows, deployment considerations, and long‑term maintenance of models within a complex product environment. Your main responsibilities will be: * Analyze how data pipelines can support continuous or periodic model training. * Explore approaches for safe deployment, tracking, and versioning of machine learning models. * Define testing and benchmarking methods for ML‑enabled functionality. * Investigate how the proof‑of‑concept model can operate efficiently within the existing software architecture. * Assess how internal infrastructures can support training, deployment, and scaling of ML models. * Map technical gaps and propose feasible integration architectures. * Build a prototype or concept demonstration to show how integration could work in practice. This is a bachelors/master’s (thesis ) internship for a min 6 months but preferably 9 months, 4–5 days per week (at least 2 days on‑site). The start date of this internship is September 2026.
