Lila Sciences · 14 hours ago
Intern, Agentic Simulations for Materials Science
Cambridge, MA USA
Internship
Onsite
InternLila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. They are seeking an intern to contribute to developing ML- and agent-driven infrastructure for complex physics simulations in materials science and chemistry. The role involves collaborating on projects related to AI agents for simulations and in silico materials discovery.
Artificial Intelligence (AI)SoftwareLife ScienceFoundational AI
Responsibilities
Contribute to projects involving one of these areas: AI agents for simulations, ML models for atomistic simulations, and in silico materials discovery
Develop methods and workflows for in silico materials discovery that connect physics-based simulations, generative models, and agentic AI systems
Build intelligent pipelines where AI agents can design, launch, interpret, and refine simulations autonomously
Design new methods to accelerate simulations with ML-based surrogate models
Collaborate with computational scientists, machine learning experts, and platform engineers to integrate in silico discovery pipelines into Lila’s broader scientific superintelligence ecosystem
Qualification
Required
Currently enrolled in an MS or PhD program in CS, Materials Science, Chemistry, Chemical Engineering, Physics, or a related field (exceptional BS candidates with research experience considered)
Proficiency in Python, deep learning frameworks and end-to-end workflow deployment
Evidence of applied ML research work in physical sciences including method development, model training and evaluation, and sound code practices
Strong 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
Prior experience and publications in one or more of these areas: ML interatomic potential development, LLMs for materials science and chemistry, Generative models for materials, High-throughput computational materials discovery
Contributions to open-source simulation or ML infrastructure and software
Familiarity with materials science simulation codes and workflow orchestration frameworks
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
$550.67MKey Investors
ARIANVenturesBraidwell,Collective Global Management
2026-01-20Grant· $0.67M
2025-10-14Series A· $115M
2025-09-14Series A· $235M
Recent News
MIT Technology Review
2026-01-22
2026-01-03
2025-12-17
Company data provided by crunchbase