Senior AI/ML Engineer – Materials Science & Thin Films

ASM International; Almere; On-site; EUR 90,000 - 140,000; Full time

Job summary

ASM International seeks a Senior Engineer in Product Intelligence to lead AI/ML workflows for materials engineering, particularly chemistry and thin film design. You will translate complex chemical challenges into practical AI pipelines, collaborating with software and data science teams to accelerate R&D and engineering efforts.

Ideal candidates hold a PhD/MSc with extensive experience in AI for materials, semiconductor systems, and computational modelling.

Qualifications

• PhD or MSc with strong expertise in CS, Data Science, Materials Science, Physics, Chemistry or Engineering.
• Hands-on experience building ML models and tools for materials science.
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Responsibilities

• Design and support AI models and workflows for relevant chemical systems for thin film development.
• Model and embed known physics to ensure accurate model output and turnaround time
• Use of SoTA GenAI frameworks for materials science and ML tools deliver applications that acceleration R&D workflows
• Build data pipelines to extract required data from multi-modal data sources
• Collaborate with software & data science engineers to deliver reproducible pipelines, dashboards, APIs and decision-support tools for R&D and engineering teams.
• Mentor engineers define modelling standards and communicate across AI/ML, chemistry, materials and semiconductor teams.

Skills

Advanced degree

ML for materials

AI for materials

Semiconductor AI

Computational materials modelling

Translational data science

Education

PhD or MSc in relevant field

Tools

VASP

Synopsys

Cadence

Silvaco

Python

NumPy

SciPy

MLflow

PyTorch

TensorFlow

JAX

scikit-learn

Job description

ASM International seeks a Senior Engineer in Product Intelligence to lead AI/ML workflows for materials engineering, particularly chemistry and thin film design. You will translate complex chemical challenges into practical AI pipelines, collaborating with software and data science teams to accelerate R&D and engineering efforts.

Ideal candidates hold a PhD/MSc with extensive experience in AI for materials, semiconductor systems, and computational modelling.