Lila Sciences · 2 hours ago
Graduate Research Intern, Machine Learning for Materials
Cambridge, MA USA
Internship
Onsite
InternLila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. The role involves applying advanced machine learning to real-world problems in materials, chemistry, and physics, while collaborating with experimentalists and domain scientists to develop and evaluate ML models.
Artificial Intelligence (AI)Life ScienceSoftware
Responsibilities
Develop, evaluate, and ship ML models; run baselines and ablations; report clear, decision‑oriented results
Build clean, reproducible data/model pipelines (Python, PyTorch; tracking and docs)
Collaborate with experimentalists, domain scientists, and engineers to turn open‑ended questions into testable milestones, working directly with real‑world data and feedback loops from Lila’s laboratories
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
Experience in advanced machine learning methods related to: Bayesian optimization/active learning, representation learning/GNNs, generative models, scientific reasoning model, uncertainty & reliability, or multimodal data
Understanding of experimental materials science techniques related to synthesis and characterization
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
2025-12-17
MIT Technology Review
2025-12-15
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