Mathematics ML Engineer: Optical Metrology & Scanner Modeling

ASML; Veldhoven; On-site; EUR 90,000 - 120,000; Full time

Job summary

ASML in the Netherlands seeks a Mathematics Machine Learning Engineer to design and implement optical and mathematical models for metrology data. You will infer physical model parameters, develop fast inference and ML strategies, and collaborate across physics, data science, and software groups to deliver scalable solutions for high-volume fab contexts.

The role emphasizes numerical stability, deep learning, and calibration techniques, with opportunities to contribute to product roadmaps and

Qualifications

• PhD in Applied Mathematics, Physics, Computer Science or Electrical Engineering.
• Strong modeling and inference background with numerical stability.

Responsibilities

• Develop models for scanners and optical metrology solutions with inference and optimization.
• Implement machine learning models and metrology applications with scalable architectures.
• Communicate physical principles and design decisions clearly to stakeholders.
• Drive data and code quality and collaborate across physics, data science and software teams.
• Contribute to technical roadmaps and protect intellectual property.

Skills

Numerical modeling

Deep learning

Machine learning

Python

C++

MATLAB

Education

PhD in Applied Mathematics / Physics / CS / EE

Tools

Python

C++

MATLAB

Julia

Job description

ASML in the Netherlands seeks a Mathematics Machine Learning Engineer to design and implement optical and mathematical models for metrology data. You will infer physical model parameters, develop fast inference and ML strategies, and collaborate across physics, data science, and software groups to deliver scalable solutions for high-volume fab contexts.

The role emphasizes numerical stability, deep learning, and calibration techniques, with opportunities to contribute to product roadmaps and