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Introduction
Join ASML’s AI and Machine Learning team in Veldhoven, where we explore cutting-edge technologies to improve semiconductor manufacturing. Our machines print nanometer-scale patterns on silicon wafers, requiring precise calibration and diagnostics. Vision-language models (LVMs) have the potential to assist experts in these tasks, but they often lack domain-specific understanding. This internship focuses on bridging that gap by creating benchmarks and datasets tailored to ASML’s diagnostic context.
Your assignment
You will design and implement a benchmarking framework for evaluating vision-language models on ASML-specific tasks. This includes curating multimodal datasets and developing evaluation pipelines to measure model performance against human-level standards.
Your main responsibilities will be:
This is a Master's internship for a minimum of 6 months (preferably 9), minimum 4 days per week (1-2 days on-site). The start date of this internship is before February 2026.
Your profile
To be suitable for the internship, you:
Other requirements you need to meet:
About ASML
ASML is a leading supplier of lithography equipment, used by the world’s top chipmakers to print microchips that are increasingly powerful, fast and energy efficient. Working at ASML is inspiring, no matter what field you're in. That’s because we push the boundaries of technology: if it’s moving the world forward, chances are, we’re behind it. In fact, we’re probably a part of the electronic device you’re using right now. We’re a global team of more than 32,000 people from 122 different nationalities and counting. Headquartered in Europe’s top tech hub, the Brainport Eindhoven region in the Netherlands, our operations are spread across Europe, Asia and the US.
We're moving technology forward
In fact, we’re probably a part of the electronic device you’re using right now. Our lithography technology is fundamental to mass producing semiconductor chips. With it, the world’s top chipmakers are creating microchips that are more powerful, faster and energy efficient.
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