Member of Technical Staff, Embedded Assessments

You'll be embedded in a frontier AI lab for up to several weeks at a time, likely alongside 1-4 other METR staff. Between exercises, you'll practice, develop the general methodology, talk to other researchers, build tooling to make future exercises go better, help us hire and scale, write up results, and plan/coordinate future exercises.

We are looking for embedded researchers and engineers across multiple current and potential future exercises: AI R&D acceleration assessment, compute allocation, monitorability red-teaming, incident investigations, and more. We expect this role to evolve significantly as we develop and prototype this new form of risk assessment.

We are looking for candidates with at least two of the following skills, although the ideal candidate will have most or all of them: 

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  You’re good at prompting LLMs, are familiar with research relevant to the fields above (or can get up to speed quickly).

  
  


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  You have some security experience. 

  
  


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  You can get spun up on large codebases quickly. 

  
  


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  You’re scrappy, creative, independent, and self-directed (because during the exercises you’ll only have a few other METR employees you can talk to). The work is novel and you’ll need to figure a lot of stuff out on the fly largely by yourself.

  
  


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  You are excellent at loss-of-control threat modeling and breaking down safety cases. 

  
  


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  You’re good at verbal communication, writing, and stakeholder management (e.g., navigating complex relationships with frontier labs). 

  
  


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  You’re trustworthy and have a good reputation.