Lila Sciences · 2 months ago
AI Scientist I/II, Generative Modeling for Materials Science
Cambridge, MA USA
Full-time
Onsite
Entry, Mid Level
$176K/yr - $304K/yrLila Sciences is pioneering a new age of boundless discovery by applying AI to every aspect of the scientific method. As a Research Scientist, you will develop generative modeling techniques for materials science, collaborating with cross-functional teams to create impactful solutions.
Artificial Intelligence (AI)Foundational AILife ScienceSoftware
Responsibilities
Design and implement generative models (Diffusion models, flow-based models) and advanced sampling methods for diverse materials design challenges
Develop novel architectures & methods based on physics-informed constraints and domain knowledge informed inductive biases aimed at representing and modeling materials across a wide range of chemical space for real-world applications
Create and validate datasets, frameworks, and methods for validating generative models on experimentally realized materials
Partner with software engineers and product managers to deploy solutions
Work closely with R&D leadership, product managers, and automation specialists to translate scientific questions into data requirements and modeling strategies
Qualification
Required
Proficiency in Python, deep learning frameworks and end-to-end workflow deployment
Understanding of modern generative modeling methods (diffusion models, flow matching models, geometric deep learning methods) and their applications to scientific problems, including materials science, chemistry or biology (e.g. proteins)
Elementary understanding of materials science, physics and chemistry and how their principles can be infused into generative model design
Strong self-starter and independent thinker, with strong attention to detail
Demonstrated industry experience or academic achievement
Excellent communication and presentation skills, capable of conveying technical information in a clear and thorough manner
Eager to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial, and technical setting
Preferred
PhD in Materials Science, Computer Science, Physics, Chemistry, or related field with strong publication record in machine learning (NeurIPS, ICML, ICLR) and scientific (Nature, Science, Cell Press Matter, IOP) venues
Experience with computational materials science methods (DFT, Molecular Dynamics)
Understanding of experimental materials science techniques related to synthesis and characterization
Benefits
Bonus potential
Generous early equity
Company
Lila Sciences
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.
Founded in 2023
201-500 employees
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 StageTotal Funding
$550MKey Investors
NVenturesFlagship Pioneering
2025-10-14Series A· $115M
2025-09-14Series A· $235M
2025-03-10Seed· $200M
Recent News
2026-01-03
2025-12-17
MIT Technology Review
2025-12-15
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