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
- Hands-on experience developing and validating safety interventions for frontier models within training, post-training or large-scale inference systems, with contributions to model development or release cycles
- Depth in at least one relevant area, such as safety post-training, model-level classifiers, safeguards integrated into inference, or abuse monitoring and enforcement across a model-serving platform
- Strong research-engineering skills and the ability to move from an ambiguous problem to working, maintainable implementations
- Sound experimental judgment, including an ability to assess robustness, interpret imperfect metrics and reason about competing objectives
- The ability to collaborate across research and engineering teams, explain technical trade-offs and take ownership of complex individual contributions
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.
At Lila Sciences, you will develop and test safeguards that reduce societal risks from increasingly capable closed loop scientific AI. This is a high-priority individual contributor role for an engineer who has built safety interventions within the development and deployment of frontier models and wants to apply that experience to scientific models, agents, tools and laboratory-connected workflows.
You will work with domain scientists, risk researchers, evaluators and...
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