Senior Engineer Product Intelligence - Materials Engineering, Chemistry & Thin Film Design

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 AI tools & frameworks – generative models, deterministic models, Stochastic models, active learning/reinforcement learning Python, PyTorch/TensorFlow/JAX/scikit-learn 
• 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 system.

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