Machine Learning Engineer
Core
Design, develop, and adapt generative algorithms and large language models to solve concrete problems in process engineering, materials discovery, and hardware design.
Role type
Senior Machine Learning Engineer (Generative AI & Materials Science)
Builds
Domain-specific, product-centric algorithmic solutions for semiconductor and display manufacturing
Domain
Semiconductor manufacturing / Materials Science / Generative AI
Deliverable
production ML models
Required skills
Generative AI, Large Language Models (LLMs), Classical Machine Learning, Deep Learning, Model Fine-tuning, Evaluation Protocols, Python, PyTorch, TensorFlow
Preferred skills
Experience adapting frontier techniques to practical constraints, mentoring team members
Technologies
PyTorch, TensorFlow
Responsibilities
Design and adapt generative algorithms for process engineering and materials discovery; Fine-tune and optimize models for downstream workflows; Build robust evaluation protocols and validation pipelines; Translate published methods into production-ready solutions; Collaborate with scientists and engineers to identify high-impact applications; Build and curate scientific datasets
Seniority
Senior, hands-on IC
