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
- 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
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 materials scientist to map risk across the material sciences domain: you will connect 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.
- Map misuse risks by connecting material properties, processing and functional performance (across a range of materials...
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