AI Residency Program (Material Science)

TL;DR

AI Resident (Material Science): Designing and executing independent research projects in AI for materials science, collaborating on cutting-edge, open-science initiatives. Focus on exploring domains such as ML-accelerated simulations, Bayesian methods, representation learning, generative AI, agentic science, and ML-driven automation, and co-developing novel approaches to scientific discovery.

Location: Onsite in Cambridge, MA, USA

Company

hirify.global is a pioneering scientific superintelligence platform and autonomous lab for life, chemistry, and materials science, building capabilities to apply AI to every aspect of the scientific method.

What you will do

• 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 (Bachelor’s, Master’s, 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.

Nice to have

• 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.

Culture & Benefits

• Full-time research opportunity focusing on high-impact, open-science projects.
• Option to focus on either fundamental or applied research.
• Access to proprietary datasets, high-performance compute, and Lila’s research infrastructure.
• Mentorship from technical mentors and feedback from cross-functional teams.
• Inclusion in a small cohort of selected residents.
• Committed to equal employment opportunity.

Hiring process

• Submit resume alongside a research proposal (up to 3 pages) outlining the project.
• Applications without both documents will not be considered.
• Optional supporting materials (e.g., recommendation letters, publications, research artifacts) may be included.