Mathematics ML Engineer — Optical Metrology & Modeling

ASML US, LP. (US30); Veldhoven; On-site; EUR 120,000 - 150,000; Full time

Job summary

ASML in the Netherlands is seeking a Mathematics Machine Learning Engineer to advance scanner modeling and optical metrology, inferring physical parameters from data with robust numerical methods and ML.

You will develop models with deep learning, optimization, and scalable architectures, collaborating with physics, data science, and software teams to deliver high-precision metrology software for global customers.

Qualifications

• Ph.D. in Applied Mathematics, Physics, Computer Science, or Electrical Engineering.
• 0-3 years of working experience.
• Fluency in Python, C++, MATLAB, or Julia. Implementing modelling and ML/DL solutions is expected.

Responsibilities

• Develop models for scanners and optical metrology with statistically correct parameter inference, deep learning and optimization algorithms.
• Implement machine learning and deep learning scanner models and metrology applications with scalable data-intensive architectures.
• Communicate physical principles, mathematical solutions and design decisions clearly to stakeholders.
• Drive for data and code quality and follow industry coding best practices.
• Collaborate with physics, data science and software groups to deliver metrology solutions.
• Contribute to technical product roadmaps and generate IP protecting ASML products.

Skills

Numerical modeling

Explain principles

Numerical mathematics

Machine learning

Deep learning

Distributed software

Python

C++

MATLAB

Julia

Linear algebra

Probability theory

Robust optimization

Neural networks

Team player

Education

Ph.D. in Applied Mathematics, Physics, Computer Science, or Electrical Engineering

Tools

Python

C++

MATLAB

Julia

Job description

ASML in the Netherlands is seeking a Mathematics Machine Learning Engineer to advance scanner modeling and optical metrology, inferring physical parameters from data with robust numerical methods and ML.

You will develop models with deep learning, optimization, and scalable architectures, collaborating with physics, data science, and software teams to deliver high-precision metrology software for global customers.