Computational Materials Scientist

We're seeking a Computational Materials Scientist to apply cutting-edge machine learning techniques across our entire platform, including diffusion models, transformers, and RAG systems.

What You'll Do

• Develop and implement machine learning models for materials discovery
• Work with diffusion models for molecular generation and optimization
• Build transformer-based models for materials property prediction
• Implement RAG (Retrieval-Augmented Generation) systems for scientific knowledge
• Collaborate with the engineering team to integrate ML models into the platform
• Stay current with the latest research in computational materials science and ML

Requirements

• PhD in Materials Science, Physics, Chemistry, or related field (or equivalent experience)
• 4+ years of experience with machine learning and deep learning frameworks
• Strong programming skills in Python and common ML libraries (PyTorch, TensorFlow, etc.)
• Experience with molecular modeling and computational chemistry tools
• High degree of comfort with both research and development work
• Growth mindset and a passion for learning new technologies

Nice to Have

• Experience with generative models (VAEs, GANs, diffusion models)
• Knowledge of transformer architectures and attention mechanisms
• Familiarity with materials databases and high-throughput screening
• Experience with distributed computing and cloud platforms
• Publications in computational materials science or machine learning

What We Offer

• Flexible part-time contract arrangement
• Remote work with occasional collaboration sessions
• Opportunity to work on cutting-edge research problems
• Access to computational resources and datasets