LILA has created the world's first Operating System for Science powered by Scientific Superintelligence™. Backed by General Catalyst.
About the role
We're building a talent-dense, high-agency AI safety team at Lila that will engage all core teams within the organization (science, model training, lab integration, etc.), to identify and mitigate risks from scientific superintelligence while retaining the core scientific discovery capabilities of the stack. The initial focus of this team will be to build and implement a bespoke safety strategy for Lila, tailored to its specific goals and deployment strategies. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Substantive experience assessing chemical dual-use risks (e.g. across national security, export controls, or other chemical risk tracking such as the CWC)
- Strong scientific judgment about feasibility, uncertainty and practical constraints, including the ability to investigate unfamiliar questions and recognize the limits of your expertise
- The ability to identify appropriate specialists, critically assess their evidence and combine findings across disciplines into defensible risk assessments
- Clear scientific communication, independent research judgment and an ability to collaborate across science, engineering and policy
More about this role
We're building a talent-dense, high-agency AI safety team at Lila that will engage all core teams within the organization (science, model training, lab integration, etc.), to identify and mitigate risks from scientific superintelligence while retaining the core scientific discovery capabilities of the stack. The initial focus of this team 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 chemist to map risk across the chemical sciences domain: you will connect deep chemistry expertise with dual-use risk assessment to help safeguard increasingly capable scientific AI. You will investigate how advances in chemical research could change harmful capabilities, including established and emerging chemical threats.
- Map chemical misuse risks across scientific models, agents and automated experimentation, connecting scientific advances to...
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