Startups · AI

Research Scientist / Research Engineer, Automated Safety

Lila Sciences · Cambridge, MA USA; London, UK; San Francisco, CA USA · On-site

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About Lila Sciences

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

  • Strong empirical judgment, practical programming ability and experience working with modern AI systems
  • The ability to investigate ambiguous failures, design informative comparisons and communicate limitations clearly
  • An interest in scientific misuse risks and the ability to collaborate productively with domain specialists
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.

As scientific AI systems become more capable and autonomous, their safety assessment and safeguards must develop alongside them. At Lila Sciences, you will help build the research methods and tools that make this possible, so that more and more decision-enablers can be automated safely. This will move us closer to the vision of a safety and security apparatus that is robust to a fully autonomous scientific engine.

Your initial focus will be misuse: developing flexible...

Read the full posting on Lila Sciences's site ↗

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