AI Residency Program, Material Science (2026 Cohort) jobs in United States
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Lila Sciences · 2 months ago

AI Residency Program, Material Science (2026 Cohort)

positionCambridge, MA USA
timeFull-time
remoteOnsite
seniorityNew Grad

Lila Sciences is pioneering a new age of boundless discovery through its AI Residency Program focused on materials science. Residents will engage in high-impact research, collaborating with scientists and engineers to tackle open-ended scientific challenges and contribute to advancements in AI applications for materials science.

Artificial Intelligence (AI)Foundational AILife ScienceSoftware
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H1B Sponsor Likelynote

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

Qualification

PythonDeep learning frameworksLarge-scale datasetsAI/ML architecturesResearch backgroundCollaborative research experienceCommunication skillsWriting skills

Required

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

Preferred

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
Optional supporting materials (e.g., recommendation letters, publications, research artifacts) may also be included

Company

Lila Sciences

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Lila Sciences creates a scientific superintelligence platform and autonomous labs for life sciences, chemistry, and materials science. It is a sub-organization of Flagship Pioneering.
dateFounded in 2023
location
Cambridge, Massachusetts, USA
people-size201-500 employees
web-link
https://www.lila.ai

H1B Sponsorship

Lila Sciences has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)

Funding

Current Stage
Growth Stage
Total Funding
$550M
Key Investors
NVenturesFlagship Pioneering
2025-10-14Series A· $115M
2025-09-14Series A· $235M
2025-03-10Seed· $200M

Recent News

Axios
2025's AI-fueled scientific breakthroughs
2026-01-03
masslive
Here’s what happened to Mass. startup investing in 2025
2025-12-17
MIT Technology Review
AI materials discovery now needs to move into the real world
2025-12-15
Company data provided by crunchbase