Senior Engineer Product Intelligence (Materials Engineering – Chemistry & Thin Film Design)
Core
Develop practical, science-grounded AI/ML solutions for materials science and semiconductor applications, specifically focusing on thin film development and chemical systems.
Role type
Senior AI/ML Engineer (Materials Science & Semiconductor)
Builds
AI models, data pipelines, dashboards, APIs, and decision-support tools for R&D and engineering teams.
Domain
Semiconductor industry, Materials Engineering, Chemistry, Computational Physics
Deliverable
production ML models
Required skills
AI/ML model development, Physics-informed modeling, Generative AI, Active learning, Python, PyTorch/TensorFlow/JAX, Computational materials modeling (MLIPs, DFT, MD, kMC), Semiconductor materials engineering knowledge
Preferred skills
Experience with VASP, Synopsys, Cadence, Silvaco, NumPy, SciPy, MLflow, Multi-modal data extraction
Technologies
Python, PyTorch, TensorFlow, JAX, VASP, Synopsys, Cadence, Silvaco, MLflow, NumPy, SciPy
Responsibilities
Design and support AI models for chemical systems in thin film development; Embed known physics and mechanisms into models; Build data pipelines from multi-modal sources; Collaborate on reproducible pipelines and decision-support tools; Mentor engineers on modeling standards.
Seniority
Senior, hands-on IC