Lila Sciences
Senior ML Scientist, Biological Systems
San Francisco, CA USA · Senior · Full-time
Sponsorship not specified$268k-$336kDetected 5 days ago
Machine LearningPyTorchAgentic AIStatisticsRecruitingBioinformaticsResearchExperimental DesignCollaborationPublic Speaking
About the role
- The right person will be comfortable formalizing how scientific knowledge is represented, how uncertainty is handled, how evidence changes belief, and how automated systems can execute increasingly rigorous cycles of life science discovery.
- Your final offer will reflect your background, expertise, and expected impact.
- USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Responsibilities
- Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
- Build autonomous life science systems that connect AI reasoning, biological evidence, experimental design, and automated execution.
- Develop methods for representing hypotheses, uncertainty, evidence, and scientific arguments in ways that enable robust machine reasoning.
- Apply Bayesian reasoning, epistemology, and scientific methodology to the design of AI systems that can propose, test, and revise biological hypotheses.
- Design agentic workflows that plan experiments, reason over results, and close the loop between computational predictions and automated laboratory feedback.
- Partner with ML scientists, experimental scientists, automation teams, and platform teams to ensure systems are biologically grounded and experimentally actionable.
- Build evaluation frameworks for autonomous discovery systems, including benchmarks for reasoning quality, hypothesis generation, evidence integration, and experimental utility.
- Deep understanding of scientific reasoning, experimental design, uncertainty, and evidence integration.
- Experience building or researching systems that reason over complex scientific, biological, or experimental data.
Compensation
- We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
- International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions
- Expected Base Salary Range
- $268,000 - $336,000 USD
Benefits
- Translate the broader Autonomous Life Science AI vision into concrete architectures, workflows, prototypes, and production-quality research systems.
- PhD in Computer Science, Machine Learning, Computational Biology, Statistics, Biology, or a related quantitative field.
- Strong research track record in machine learning, AI for science, computational biology, probabilistic modeling, agentic systems, or a related area.
Visa & Work Authorization
- al employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status
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