Machine Learning Scientist I / II, Protein Design
San Francisco, CA$176k - $304kfull-timePosted 1mo ago
About the role
Machine learning scientist to design molecules on real programs and turn findings into capabilities that generalize across programs within the AI for Protein Engineering team.
Responsibilities
- Design molecules for active biologics programs, translating target, mechanism, and experimental constraints into actionable design hypotheses.
- Develop reasoning capabilities for drug discovery, including orchestrating design workflows.
- Design and maintain benchmarks and evaluation infrastructure to assess whether design workflows yield useful, generalizable decisions across biologics programs.
- Own operations around reproducibility, throughput, and inference cost of computational design workflows.
- Work with domain scientists to understand design prioritization and translate that judgment into ML objectives and evaluation criteria.
Qualifications
- MS or PhD in computer science, machine learning, computational biology, biophysics, bioengineering, or a similar quantitative field.
- Strong software engineering and system design fundamentals.
- Rigor in evaluation and dataset design: how benchmarks leak, why a good validation number fails downstream, and how to measure whether an automated system is making good decisions.
- Strong cross-functional communication skills.
- Domain expertise in protein sequence, structure, and function.
Skills
Required:molecular design for protein engineeringML workflow orchestrationbenchmarks and evaluationreproducibility, throughput, and inference cost managementprotein sequence/structure/function knowledge
Benefits
- Full benefits package (medical, dental, vision for U.S. employees); employer-paid life and disability insurance; flexible time off with company holidays; paid parental leave; educational assistance; commuter benefits including bike share; 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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