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About the Role
We're building a talent-dense, high-agency AI safety team at Lila to identify and mitigate risks from scientific superintelligence while retaining the core scientific discovery capabilities of the stack. The initial focus will be to build and implement a bespoke safety strategy for Lila, tailored to its specific goals and deployment strategies. This will involve technical safety strategy development, broader ecosystem engagement, safety-focused evaluations, safety systems to mitigate risks, and a research agenda that explores longer-term needs such as oversight of superintelligent scientific systems. We are seeking a materials scientist to map risk across the material sciences domain, connecting deep materials expertise with dual-use risk assessment to help safeguard increasingly capable scientific AI. You will investigate how advances in materials research could change harmful capabilities, including established and emerging threats.
Responsibilities
- Map misuse risks by connecting material properties, processing and functional performance to harmful applications.
- Assess how physical feasibility, processing complexity, manufacturing requirements and actors' resources affect the plausibility and likelihood of misuse.
- Distinguish established capabilities, plausible future developments and weakly supported hypotheses, revising assessments as evidence changes.
- Identify gaps in expertise, commission targeted scientific input, and integrate specialist findings into a coherent assessment of the risk landscape.
- Translate dual-use judgments into policy boundaries, evaluation priorities and mitigation requirements.
- Work with threat modelers, evaluation researchers and engineering and experimental colleagues to assess capabilities, interpret red-team findings and evaluate safeguards.
Requirements
- Deep expertise (a PhD, or comparable experience) in materials science or a closely related discipline, with a strong grasp of the relationships between structure, properties, processing and applications.
- Substantive experience assessing dual-use risks in a relevant area, with a strong understanding of harmful applications such as nuclear proliferation, radiological misuse, weapons-related capabilities or other consequential materials risks.
- Sound judgment about physical possibility, practical feasibility and uncertainty, together with the ability to investigate risks beyond your immediate specialism.
- The ability to identify appropriate specialists, evaluate technical evidence and synthesize contributions across scientific and security disciplines.
- Clear scientific communication, independent research judgment and an ability to collaborate across science, engineering and policy.
Skills
- Materials science
- Dual-use risk assessment
- Scientific communication
- Independent research judgment
- Collaboration
Location
- U.S.
Work Type
- Full-time
Experience Level
- PhD or comparable experience
Education Level
- PhD
Salary/Compensations
- $268,000—$384,000 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
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.
- Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
- LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating 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.