AI Residency Program, Material Science (2026 Cohort)
The AI Residency Program at Lila Sciences is a full-time research opportunity designed to bridge the gap between academic research and industry applications in AI for materials science. Residents will collaborate closely with Lila's team of scientists and engineers on high-impact, open-science projects, focusing on either fundamental or applied research. The program offers durations of 6 to 12 months, with potential extensions, and has start dates beginning in January 2026, with additional intakes in the summer and fall of 2026.
Residents will be responsible for designing and executing independent research projects in AI for materials science. They will collaborate with Lila's scientists and engineers on cutting-edge initiatives, exploring domains such as machine learning-accelerated simulations, Bayesian methods, representation learning, generative AI, agentic science, and machine learning-driven automation. Contributions to collaborative team research and the development of novel approaches to scientific discovery are expected, with opportunities to share findings both internally and externally.
Candidates should possess a degree in Materials Science, Chemistry, Computer Science, AI/ML, Physics, Mathematics, or a related field at the Bachelor's, Master's, or PhD level. Proficiency in Python and deep learning frameworks like PyTorch is required, along with experience working with large-scale datasets or simulations. Familiarity with modern AI/ML architectures and training techniques, as well as a strong research background demonstrated through publications, thesis work, or open-source projects, is essential.
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status. The company fosters a collaborative and innovative environment, encouraging residents to push the frontiers of scientific discovery. With access to proprietary datasets, high-performance computing infrastructure, and experienced mentors, residents are empowered to pursue ambitious research projects with both academic and real-world impact.