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Veldhoven
1 day ago
Metrology Machine Learning Engineer logo

Metrology Machine Learning Engineer

ASML

Veldhoven
1 day ago
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Metrology Machine Learning Engineer

ASML is seeking a Metrology Machine Learning Engineer to develop models and algorithms for optical metrology solutions in semiconductor manufacturing. The role requires a PhD in a relevant field, 0-3 years experience, and expertise in machine learning, numerical algorithms, and programming. The position is hybrid based in Veldhoven, Netherlands.

AIHybridFull-timeEntry LevelMachine LearningDeep Learning

Metrology Machine Learning Engineer

ASML is seeking a Metrology Machine Learning Engineer to develop models and algorithms for optical metrology solutions in semiconductor manufacturing. The role requires a PhD in a relevant field, 0-3 years experience, and expertise in machine learning, numerical algorithms, and programming. The position is hybrid based in Veldhoven, Netherlands.

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AIHybridFull-timeEntry LevelMachine Learning

Salary

Not specified

Work Location

Veldhoven, North Brabant, Netherlands, NL

Work Model

Hybrid

Experience Required

3 years

Employment Type

Full-time

Experience Level

PhD with 0-3 years experience

Core Qualifications

Technical (Must-have)
Machine LearningDeep LearningPythonJuliaMATLABC++Linear AlgebraProbability TheoryOpticsOptimizationStatistical InferenceNumerical AlgorithmsDistributed ComputingCloud Computing
Soft Skills
Analytical ThinkingCommunicationCollaborationProactive MindsetProblem SolvingInitiativeAdaptability

Key Responsibilities

  • •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.
MetrologyMachine LearningSemiconductorASMLPhDHybridVeldhovenOpticsDeep LearningAlgorithms
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