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Data science | AI internship: framework for evaluating vision-language models

Geplaatst 24 nov. 2025
Delen:
Werkervaring
0 tot 2 jaar
Full-time / part-time
Full-time
Functie
Opleidingsniveau
Taalvereiste
Engels (Vloeiend)
Startdatum
1 februari 2026

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Be part of progress: Join ASML’s AI and Machine Learning Team

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:

  • Collect and organize technical documents and visual data from internal and public sources.
  • Design and implement a semi-automated pipeline for dataset annotation.
  • Create benchmark tasks for multimodal understanding in diagnostic scenarios.
  • Evaluate state-of-the-art vision-language models using established metrics.
  • Analyze performance gaps and propose improvements for domain-specific applications.
  • Document your methodology and results in a clear, reproducible format.
  • Present findings to stakeholders and contribute to knowledge sharing within the team.

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:

  • Are enrolled in a master’s degree in data science, artificial intelligence, computer science, or a related field.
  • Have experience with large language models and prompt engineering.
  • Are proficient in Python; familiarity with MATLAB and databricks is a plus.
  • Understand multimodal datasets and benchmarking tools (e.g., Hugging Face).
  • Bring strong analytical thinking, are able to work independently, and a proactive mindset.

Other requirements you need to meet:

  • You are enrolled at an educational institute for the entire duration of the internship.
  • Attach your cover letter with a clear motivation why you are interested in this internship assignment in particular.
  • You need to be located in the Netherlands to perform your internship. In case you are currently living/studying outside of the Netherlands, your CV/motivation letter includes the willingness to relocate.
  • If you are a non-EU citizen, studying in the Netherlands, your university is willing to sign the documents relevant for doing an internship (i.e., Nuffic agreement).

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.

Engineering
Veldhoven
Actief in 16 landen
42.000 medewerkers
70% mannen - 30% vrouwen
Gemiddeld 38 jaar oud