Graduate Research Intern, Machine Learning for Materials

Your Impact at Lila

Join our physical sciences team to apply advanced machine learning to real problems in materials, chemistry, and physics. You’ll build models on real-world datasets generated by Lila’s laboratories, create and contribute to state-of-the-art workflows, and present crisp results that inform next steps. Example subtopics you may touch include: Bayesian optimization, representation learning, generative models, and scientific reasoning.

What You'll Be Building

• 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.

What You’ll Need to Succeed

• 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.

Bonus Points For

• 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.

About Lila

Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.  We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method.  We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at  www.lila.ai

If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, we encourage you to apply.

We’re All In

Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.

A Note to Agencies

Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.