Lila Sciences
AI Residency Program, Material Science (2026 Cohort)
Lila Sciences, Cambridge, Massachusetts, us, 02140
Overview
AI Residency Program, Material Science (2026 Cohort) Cambridge, MA The
AI Residency Program
is a full-time research opportunity designed to bridge the gap between academic research and industry applications in
AI for materials science . Residents will work closely with Lila scientists and engineers on high-impact, open-science projects, with the option to focus on either fundamental or applied research. 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 What Youll Need to Succeed (Qualifications)
Degree in Materials Science, Chemistry, Computer Science, AI/ML, Physics, Mathematics, or related field (Bachelors, Masters, or PhD) Proficiency in Python and deep learning frameworks (e.g., 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 Prior work on ML applications in scientific domains (e.g., materials discovery, chemistry, 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, especially for conveying complex scientific ideas Application Details
Please submit your
resume
alongside a
research proposal (up to 3 pages, unlimited references)
outlining the project you would plan to pursue during your residency at Lila Sciences.
Please submit your research proposal as your cover letter.
Applications without both documents will not be considered. Optional supporting materials (e.g., recommendation letters, publications, research artifacts) may also be included. Lila Sciences is the worlds first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. Learn more about this mission at www.lila.ai. If this sounds like an environment youd love to work in, even if you only have some of the experience listed below, we encourage you to apply. About Lila Sciences AI Residency
The Lila Sciences AI Residency is a full-time research program at the intersection of artificial intelligence and materials science. As a resident, you'll join a cohort of researchers tackling open-ended scientific challenges alongside Lilas world-class team of scientists and engineers. With access to proprietary datasets, high-performance compute infrastructure, and experienced mentors, you'll pursue ambitious research projects with both academic and real-world impact. Publishing is encouraged but not required what matters most is pushing the frontier of scientific discovery. #J-18808-Ljbffr
AI Residency Program, Material Science (2026 Cohort) Cambridge, MA The
AI Residency Program
is a full-time research opportunity designed to bridge the gap between academic research and industry applications in
AI for materials science . Residents will work closely with Lila scientists and engineers on high-impact, open-science projects, with the option to focus on either fundamental or applied research. 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 What Youll Need to Succeed (Qualifications)
Degree in Materials Science, Chemistry, Computer Science, AI/ML, Physics, Mathematics, or related field (Bachelors, Masters, or PhD) Proficiency in Python and deep learning frameworks (e.g., 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 Prior work on ML applications in scientific domains (e.g., materials discovery, chemistry, 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, especially for conveying complex scientific ideas Application Details
Please submit your
resume
alongside a
research proposal (up to 3 pages, unlimited references)
outlining the project you would plan to pursue during your residency at Lila Sciences.
Please submit your research proposal as your cover letter.
Applications without both documents will not be considered. Optional supporting materials (e.g., recommendation letters, publications, research artifacts) may also be included. Lila Sciences is the worlds first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. Learn more about this mission at www.lila.ai. If this sounds like an environment youd love to work in, even if you only have some of the experience listed below, we encourage you to apply. About Lila Sciences AI Residency
The Lila Sciences AI Residency is a full-time research program at the intersection of artificial intelligence and materials science. As a resident, you'll join a cohort of researchers tackling open-ended scientific challenges alongside Lilas world-class team of scientists and engineers. With access to proprietary datasets, high-performance compute infrastructure, and experienced mentors, you'll pursue ambitious research projects with both academic and real-world impact. Publishing is encouraged but not required what matters most is pushing the frontier of scientific discovery. #J-18808-Ljbffr