ML Scientist I/II, AI for Protein Engineering
San Francisco, CA$176k - $304kfull-timePosted 1mo ago
About the role
ML Scientist I/II focused on AI for protein engineering within Lila Sciences, developing generative and predictive models to support biomolecule design programs from in silico hypotheses to wet-lab validated leads, collaborating across ML, biology, and experimental teams.
Responsibilities
- Build ML workflows for protein engineering campaigns, from design specification through experimental learning.
- Develop and adapt methods spanning de novo generation, sequence- or structure-based property prediction, candidate selection, and active learning.
- Integrate protein design methods into robust software systems and broader reasoning models.
- Translate therapeutic and biological questions into well-defined ML problems, model outputs, and evaluation plans.
- Partner with experimental scientists to interpret why designed biomolecules succeed or fail, then turn those insights into model improvements.
- Build evaluation frameworks for model generalization to challenging biologics design problems.
Qualifications
- PhD in Computational Biology, Computer Science, Machine Learning, Biophysics, Bioengineering, or a related quantitative field.
- Experience applying machine learning to protein design, biologics engineering, or related biomolecular design problems.
- Strong ML fundamentals, with hands-on experience developing, adapting, training, or evaluating modern AI methods.
- Fluency with biological sequence, structure, function, developability, or experimental validation considerations.
- Ability to translate therapeutic or biological objectives into computational design problems and model evaluation plans.
- Strong collaboration and communication skills across ML, biology, experimental science, and software teams.
Skills
Required:Machine learning applied to protein designBiomolecule sequence/structure/functional dataComputational translation to design problemsCollaboration & communication
Benefits
- Full-time U.S. employees receive medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous holidays; paid parental leave; educational assistance program; commuter benefits; company subsidized lunch program.
Last updated Sep 16, 2026. Interested? Apply on the company site.
About Lila Sciences
Pioneering Scientific Superintelligence
Pioneering Scientific Superintelligence to solve humankind’s greatest challenges.
Scientific SuperintelligenceAIAutonomous LabsLife SciencesChemical SciencesMaterials Sciences
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