Senior Engineer Product Intelligence (Materials Engineering – Chemistry & Thin Film Design)

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

Job summary

ASM is seeking a Senior AI/ML Engineer to develop practical, science-grounded ML solutions for materials science and semiconductor applications.

You will design and optimize AI models for thin film development, integrate physics-based constraints, build data pipelines, and collaborate across AI/ML, chemistry, materials and semiconductor teams to accelerate R&D. The role blends advanced engineering with hands-on implementation and mentorship.

Qualifications

• PhD or MSc with strong expertise in CS, Data Science, Materials Science, Physics, Chemistry, Engineering or a related field.
• Hands‑on experience building ML models, tools and frameworks for materials science.
• 6+ years’ experience in applying AI/ML or computational methods (MLIPs, DFT, MD, kMC, etc.) to complex scientific or engineering problems
• Hands‑on experience on atomistic to feature scale simulation/modelling tools & frameworks like – generative models, deterministic models, Stochastic models, active learning, Python, PyTorch/TensorFlow/JAX/scikit-learn, VASP, Synopsys, Cadence, Silvaco, Python, NumPy, SciPy, and MLflow.

Responsibilities

• Design and support AI models and workflows for relevant chemical systems for thin film development.
• Model & embedded known physics & mechanisms 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

AI/ML in materials science

Python & ML frameworks

Cross-disciplinary collaboration

Semiconductor materials AI experience

Computational modeling

Education

PhD or MSc in CS/Materials Science/Physics/Chemistry/Engineering

Tools

Python

PyTorch

TensorFlow

JAX

scikit-learn

VASP

Synopsys

Cadence

Silvaco

NumPy

SciPy

MLflow

Job description

Step into a career with ASM, where cutting edge technology meets collaborative culture.

For over 55 years ASM has been ahead of what’s next, at the forefront of innovation and what’s technologically possible. With more than 4,500 ASMers representing 70 nationalities, our people and our advanced semiconductor devices are playing a crucial role in trends such as 5G, cloud computing, AI, and autonomous driving.Butwe’re more than just a tech company. We value diversity, inclusion and sustainability as we strive to make a positive impact on the world. Our development programs help support your growth, shaping your future and pushing the boundaries of innovation to unleash potential.

Senior Engineer Product Intelligence (Materials Engineering – Chemistry & Thin Film Design)

We seek a Senior AI/ML Engineer to develop practical, science-grounded ML solutions for materials science and semiconductor applications.

What you will do

• Design and support AI models and workflows for relevant chemical systems for thin film development.
• Model & embedded known physics & mechanisms 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.

What we are looking for

• PhD or MSc with strong expertise in CS, Data Science, Materials Science, Physics, Chemistry, Engineering or a related field.
• Hands‑on experience building ML models, tools and frameworks for materials science.
• 6+ years’ experience in applying AI/ML or computational methods (MLIPs, DFT, MD, kMC, etc.) to complex scientific or engineering problems
• Hands‑on experience on atomistic to feature scale simulation/modelling tools & frameworks like – generative models, deterministic models, Stochastic models, active learning, Python, PyTorch/TensorFlow/JAX/scikit-learn, VASP, Synopsys, Cadence, Silvaco, Python, NumPy, SciPy, and MLflow.
• Ability to translate physical, chemical and engineering challenges into practical AI/ML workflows for materials engineering
• AI/ML experience in semiconductor materials engineering or in relevant chemistry/materials systems
• Experience with computational materials modelling, simulations or scientific software frameworks.

Who will thrive in this role

The ideal candidate bridges advanced AI/ML engineering, materials engineering/process R&D, and eager to solve problems that make an impact to the users

We make the tech that enables the chips in devices which improve lives around the world. We do this with an eye to the future, pushing the boundaries of what’s possible through cutting‑edge innovation, and driving the next wave of technological breakthroughs that shape how we live, work, and connect.

To learn more about ASM, find us atasm.com andon LinkedIn,Facebook,Instagram, XandYouTube.

ASM is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, age, nationality, social or ethnic origin, sexual orientation, gender, gender identify or expression, marital status, pregnancy, political affiliation, disability, genetic information, veteran status, or any other characteristic protected by law.