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About the Role
LILA is building a talent-dense, high-agency AI safety team to engage all core teams in identifying and mitigating risks from scientific superintelligence while retaining scientific discovery capabilities. The team's initial focus is to build and implement a bespoke safety strategy tailored to LILA's specific goals and deployment strategies, involving technical safety strategy development, ecosystem engagement, safety evaluations, risk mitigation systems, and a research agenda for long-term needs.
Responsibilities
- Develop and run capability evaluations of scientific models, agents, and tool-mediated workflows.
- Create methods or systems that explore diverse failure modes and adapt tests as evidence emerges.
- Build reproducible experiments and evaluation tools that capture relevant behavior and outcomes.
- Measure the quality and coverage of automated assessments, including failures in the evaluators themselves.
- Develop broader safety automation across threat model management, evidence triage, regression testing, and monitoring workflows.
- Collaborate with risk researchers and mitigation engineers to translate findings into improved assessments and safeguards.
- Own reusable research methods and assessment tools.
- Work with mitigation engineers who implement protective mechanisms.
Requirements
- Strong empirical judgment.
- Practical programming ability.
- Experience working with modern AI systems.
- Ability to investigate ambiguous failures.
- Ability to design informative comparisons.
- Ability to communicate limitations clearly.
- Interest in scientific misuse risks.
- Ability to collaborate productively with domain specialists.
- For Research Scientist: Evidence of selecting valuable research questions, developing or adapting methods, and designing experiments that yield defensible conclusions. Ability to prototype and test ideas.
- For Research Engineer: Evidence of building reliable research software, evaluation infrastructure, or agent systems that enable reproducible experiments and efficient iteration. Ability to contribute to experimental design and interpretation.
Skills
- Automated red teaming
- Adversarial testing
- Evaluation-method research
- Scientific AI
- Tool-using agents
- Laboratory automation
- Safety monitoring
- Model-based evaluators
- Scalable experimental infrastructure
Location
- U.S.
Work Type
- Full-time
Experience Level
- Early-stage
Salary/Compensations
- $180,000—$298,000 USD
Benefits
- Medical, dental, and vision coverage
- Employer-paid life and disability insurance
- Flexible time off with generous company wide holidays
- Paid parental leave
- Educational assistance program
- Commuter benefits, including bike share memberships for office based employees
- Company subsidized lunch program
- Comprehensive benefits program tailored to their region (International)
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.
- Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.