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

AI Residency Program, Material Science (2026 Cohort)

positionCambridge, MA
timeInternship
remoteOnsite
seniorityIntern
workcardStart in 2026 Winter

Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. The AI Residency Program offers a full-time research opportunity focused on bridging academic research and industry applications in AI for materials science, allowing residents to work on high-impact projects with experienced mentors.

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 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

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