METR · Berkeley
Runs and publishes AI model evaluations by integrating models into agent scaffolds and infrastructure, and communicates results to audiences including regulators. Builds software to make evaluations faster and more reliable, and manages multiple concurrent evaluations. Works with METR's platform team and lab contacts.
We are a nonprofit research organization that develops scientific methods to assess AI capabilities, risks, and mitigations, with a specific focus on threats related to AI R&D automation and misalignment.
We believe it is robustly good for policymakers and civil society to have a clear understanding of risks from AI systems, and we are extremely excited to build a team of ambitious, excellent people to tackle one of the most important challenges of our time.
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.
We are committed to diversity and equal opportunity in all aspects of our hiring process. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We welcome and encourage all qualified candidates to apply for our open positions.
Compensation: USD 328,380 – 578,583 per year salary
This posting doesn’t list technologies. These are the ones METR uses across its other roles.