AI Research Scientist

• Independently design, implement and benchmark high-performance ML models
• Develop novel deep learning architectures for complex scientific domains, with work that meets publication standards at top-tier conferences
• Demonstrate strong implementation skills through hands-on development in PyTorch and related frameworks
• Drive research projects from conception through to deployment, showing initiative and technical depth
• Collaborate effectively with computational and experimental scientists, translating domain requirements into ML solutions
• Demonstrate intellectual curiosity and the ability to quickly master new scientific domains outside your immediate expertise
• Bridge the gap between foundational ML research and practical applications in materials science
• Build robust, well-engineered codebases that others can build upon, balancing research velocity with code quality
• Engage continuously with the latest ML literature, staying current with developments in foundation models, generative AI and scientific machine learning
• Contribute to establishing technical best practices and knowledge sharing within the research team

Machine Learning Researcher

Senior Machine Learning Researcher

Lead AI Researcher

Staff Machine Learning Researcher

Founding AI Research Engineer