AI Resident, Materials Science

Responsibilities

• Design and execute independent research projects in AI for materials science
• Collaborate with Lila scientists and engineers on cutting-edge, open-science initiatives
• Explore domains such as ML-accelerated simulations, Bayesian methods, representation learning, generative AI, agentic science, and ML-driven automation
• Contribute to collaborative team research and co-develop novel approaches to scientific discovery
• Share findings internally and externally; publications are welcome but not mandatory

Requirements

• Degree in Materials Science, Chemistry, Computer Science, AI/ML, Physics, Mathematics, or related field
• Proficiency in Python and deep learning frameworks such as PyTorch
• Experience working with large-scale datasets or simulations
• Familiarity with modern AI/ML architectures and training techniques
• Strong research background demonstrated through publications, thesis work, or open-source projects

Preferred Qualifications

• Prior work on ML applications in scientific domains such as materials discovery, chemistry, or simulations
• Familiarity with Bayesian optimization, active learning, or generative models
• Experience in reinforcement learning or agent-based approaches to scientific reasoning
• Open-source contributions or collaborative research experience
• Strong communication and writing skills for conveying complex scientific ideas

About the Company

Lila Sciences is building Scientific Superintelligence to solve humankind's greatest challenges. The company combines advanced AI models with proprietary AI Science Factory instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery across medicine, materials, and energy.