Lila Sciences

Co-Op, LS AI, ML Scientist for Protein Engineering

San Francisco, CA USA · Intern · Internship

Sponsorship not specifiedDetected 22 days ago

PythonMachine LearningPyTorchData AnalysisRecruitingBioinformaticsResearchCommunicationPublic Speaking

About the role

This is an opportunity to work alongside Lila scientists on applied ML research at the interface of AI and biology.
We believe science is the most inspiring frontier for AI.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance.

Contribute to ML research projects focused on protein engineering, antibody design, and related biomolecule design problems.
Work with scientists and ML researchers to translate biological design goals into tractable computational problems.
Analyze biological and experimental datasets to identify patterns, evaluate model outputs, and guide design decisions.
Interest in applying ML methods to real biological design problems in partnership with experimental scientists.

Strong programming skills in Python and experience with modern ML frameworks such as PyTorch, JAX, or similar tools.
Experience with protein language models, structure prediction, generative protein design, diffusion or flow-based models, or antibody design.

Currently enrolled as a PhD student in Computer Science, Machine Learning, Computational Biology, Bioengineering, Biophysics, or a related quantitative field.
Research experience in machine learning, computational biology, protein engineering, or a closely related area.
Experience building active learning, model evaluation, or data analysis workflows for scientific discovery.

al employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status

This listing is sourced directly from Lila Sciences's careers page and normalized into a canonical job model.