AI Residency Program, Material Science (2026 Cohort)

Lila Sciences
Cambridge
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Collaboration","Communication","Teamwork"]

A full-time AI residency bridging academic research and industry applications in AI for materials science. You will design and execute independent research projects, work with a world-class team of scientists and engineers, access proprietary datasets and HPC resources, and contribute to open-science initiatives across ML-accelerated simulations, Bayesian methods, and representation learning. Publications are encouraged but not mandatory, with mentorship from cross-functional teams.

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Lila Sciences
Lila Sciences
11 months ago

AI Residency Program, Material Science (2026 Cohort)

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Last checked: 23 hours agoStatus: Live

Job Summary

A full-time AI residency bridging academic research and industry applications in AI for materials science. You will design and execute independent research projects, work with a world-class team of scientists and engineers, access proprietary datasets and HPC resources, and contribute to open-science initiatives across ML-accelerated simulations, Bayesian methods, and representation learning. Publications are encouraged but not mandatory, with mentorship from cross-functional teams.
Location: Cambridge
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key 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

Key Requirements

  • •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
Experience:Materials scienceArtificial intelligence
Education:Bachelor's
Skills:CollaborationCommunicationTeamwork
Languages:English
Tech Stack:PythonPyTorch

Company Brief

Lila Sciences
Develops AI-driven platforms to accelerate drug discovery and biological research by integrating machine learning with chemical and biological data to predict molecular properties, streamline candidate selection, and enable faster therapeutic development.
Industry: Biotech
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
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