OverviewMETR has started
embedding researchers inside frontier labs to investigate incidents, stress-test labs' internal agent monitoring systems, and assess loss-of-control risks from internal deployment. As agent capabilities increase,
we expect this to be one of the most important sources of independent information the world has about catastrophic risks from advanced AI. As the source of information becomes more important, we'll need many more talented researchers and engineers who can conduct embedded exercises. We expect these assessors to have deep access, and for their work to be a large part of METR's impact in the next year. We want to build on the momentum from previous exercises to further develop our risk assessments.
What the job looks likeYou'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.
Ideal candidateWe are looking for candidates with at least two of the following skills, although the ideal candidate will have most or all of them:
- You're good at prompting LLMs, are familiar with research relevant to the fields above (or can get up to speed quickly).
- You have some security experience.
- You can get spun up on large codebases quickly.
- 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.
- You are excellent at loss-of-control threat modeling and breaking down safety cases.
- You're good at verbal communication, writing, and stakeholder management (e.g., navigating complex relationships with frontier labs).
- You're trustworthy and have a good reputation.
Compensation & Benefits$402,048 - $687,759 a year
METR also has a host of benefits:
- The office: Catered lunch and dinner daily; in-office gym and shower
- Relocation support: Stipend for moving to the Bay Area
- Time-off and leave: Unlimited PTO and 21-week parental leave for new parents
- Commuter benefit: Monthly transit/parking stipend and an annual Uber budget
- Professional development benefit: for training, courses, conferences, and AI safety education
- Mental health benefit: for therapy, medication, and other mental health expenses
- Wellness benefit: for gym memberships and other wellness expenses
- Work equipment benefit: for home office and workstation equipment expenses
Hybrid Preferred: Our technical team members are in our office in Berkeley 3-5 days/week. We would ideally like for you to be in person too, but we are happy to be flexible here. If you lack US work authorization and would like to work in-person, we can likely sponsor a cap-exempt H-1B visa for this role.
We encourage you to apply even if your background may not seem like the perfect fit! We would rather review a larger pool of applications than risk missing out on a promising candidate for the position.
