Metrology Machine Learning Engineer

As a Metrology Machine Learning Engineer, you play a key role in advancing the metrology solutions that enable the next generation of semiconductor technology. You turn complex physical data into reliable insights that help customers control their chip production with extreme accuracy. Your work supports ASML’s mission to push the boundaries of innovation by creating models and algorithms that deliver speed, precision, and scale., As a Metrology Machine Learning Engineer, you develop models and algorithms that extract physical parameters from advanced optical measurements. You turn scientific concepts into practical solutions that improve system performance. You work closely with experts in physics, data science, and software engineering to create scalable and reliable metrology applications., * Develop optical metrology solutions using statistical inference, machine learning, optimization methods, and system calibrations.

• Design and implement machine learning and deep learning applications for data-intensive and distributed environments.
• Contribute to best-practice coding standards and promote high-quality data and software workflows.
• Communicate physical principles, algorithm designs, and decisions clearly to technical and non-technical stakeholders.
• Build functional proof-of-concept subsystems that balance performance, costs, and timelines.
• Review analyses from colleagues and contribute to structured, aligned team output.
• Support product roadmaps and generate intellectual property that strengthens ASML’s metrology capabilities., You report to the relevant metrology or algorithms group within ASML’s development organization. The role may require occasional international travel to support development or customer interactions. A motivation letter is requested to understand how you have applied your technical expertise in practice.

You bring a strong academic foundation and hands-on experience in mathematical modeling or machine learning., * A PhD in applied mathematics, physics, computer science, or electrical engineering.

• 0-3 years of relevant work experience.
• Experience developing machine learning models and numerical algorithms.
• Familiarity with distributed or cloud-based software environments.
• Programming experience with Python, Julia, MATLAB, or C++.

• Knowledge of linear algebra, probability theory, optics, optimization, and deep learning methods., Working at the cutting edge of tech, you’ll always have new challenges and new problems to solve - and working together is the only way to do that. You won’t work in a silo. Instead, you’ll be part of a creative, dynamic work environment where you’ll collaborate with supportive colleagues. There is always space for creative and unique points of view. You’ll have the flexibility and trust to choose how best to tackle tasks and solve problems. To thrive in this job, you’ll need the following skills:

• Solve complex technical problems using analytical thinking.
• Communicate clearly about models, algorithms, and design choices.
• Work collaboratively across disciplines and build strong partnerships.
• Structure code bases and guide others in coding practices.