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
- Experience delivering expert-data, research-operations, evaluation or similarly demanding programs involving specialist contributors
- Evidence of applying this safety understanding in research, evaluation or expert-data work, including how it shaped the scoping, execution or review of a program
- Strong operational judgment and the ability to manage dependencies, changing requirements and several parallel workstreams
- A track record of setting measurable quality standards, detecting recurring problems and improving the processes that produce data
- Clear communication, careful documentation and the ability to build effective relationships with researchers, experts and vendors
- Sufficient technical and scientific fluency to understand research briefs, clarify ambiguity and work productively with subject-matter experts
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.
High-quality safety depends on the right expertise, consistent and repeatable workflows and high levels of interpretability. At Lila Sciences, you will turn scientific risk questions into well-run expert-data and evaluation programs to build this evidence-base.
You will bring a strong working understanding of AI safety and scientific misuse risks to connect internal risk mapping and threat modeling with expertise across Lila and external specialists. Your primary...
Browse similar: AI jobs · AI startup jobs · Startup jobs · San Francisco Bay Area