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About the Role
Lila Sciences is building a platform where AI and automation co-evolve to solve complex problems in medicine. The AI for Protein Engineering team focuses on developing and applying generative and predictive models for biomolecule design. This role is at the intersection of machine learning, protein engineering, and therapeutic design, collaborating with experimental scientists and AI researchers to build models and workflows for an autonomous science platform.
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.
Requirements
- 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
- Protein design
- Biologics engineering
- Machine learning
- Generative models
- Predictive models
- Sequence analysis
- Structure analysis
- Function analysis
- Software systems
- Reasoning models
- Antibody design
- Nanobody design
- Enzyme design
- Peptide design
- Therapeutic protein design
- Structure prediction
- Generative protein design
- Diffusion models
- Flow matching
- Protein language models
- Structural biology
- Conformational dynamics
- Developability
- Affinity maturation
- Biophysical constraints
- Active learning
- AI for science
Location
- U.S.
Work Type
- Full-time
Experience Level
- ML Scientist I/II
Education Level
- PhD
Salary/Compensations
- $176,000—$304,000 USD
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- Employer-paid life insurance
- Employer-paid disability insurance
- Flexible time off
- Generous company wide holidays
- Paid parental leave
- Educational assistance program
- Commuter benefits
- Bike share memberships
- Company subsidized lunch program
About the Company
- Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges.
- We believe science is the most inspiring frontier for AI.
- LILA builds systems that can learn for themselves, rather than hard-coding expert knowledge into tools.
- LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously.
- This accelerates discovery at unprecedented speed, scale, and impact across medicine, materials, and energy.
- Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance.
Equal Opportunity
- 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.