---
title: 'General Expression of Interest at METR'
canonical: 'https://feeny.ai/job/general-expression-of-interest-metr-berkeley-avs3pft13sf0'
type: 'job'
last_seen: '2026-09-07'
---

# General Expression of Interest at METR

- **Company:** METR
- **Location:** Berkeley, CA
- **Work type:** hybrid
- **Posted:** 2023-01-18
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/metr/f3a6db11-7fd1-48e4-af42-20aad1ded72d

## Job description

General Interest Submission We’d like to hear from anyone who would like to work with us in any capacity. We're pretty unsure about our longer-term hiring plans and contractor needs, and we are open to expressions of interest and proposals. Some groups that may want to use this form could be alignment researchers, engineers, communicators, operations specialists, contractors offering a specific service, and those that aren’t quite ready to seek a new position.

If you don’t fit those categories but believe you can potentially help METR with its work, please also feel free to use this to register your interest.

Here is a list of potential future roles.

Application Process We’ll ask you to attach your most recent CV and let us know what ways you think you could potentially contribute to the METR team. We plan to keep expressions of interest in our system long-term, and to review them as new needs come up. We don’t expect to respond to submissions here unless and until we believe there is a potential fit for our team or work. It may be that we reach out far into the future (e.g. in 1 year) as new needs develop.

We also may not review your application to this for some time (it's more of a candidate roster we review on occasion). If you're interested in actively working for us now, you should apply to an opening if there is one fitting.

If we choose to move forward with your application, we'll typically ask you to do 1 to 3 work tests (in addition to 1-2 interviews).

For some roles the first of these work tests is expected to take less than 45 minutes, for others, it may take up to three hours. If we ask you to do a work test that is expected to take more than 1 hour (typical interview length), we will compensate you at a competitive hourly rate for your time.

After the first 1-2 work tests, we'll schedule an interview to discuss the ideas behind the project, what you're looking for in a role, ask you any questions we have, and provide time for any other questions you have.

After that we'd optimally do a 1-4 week trial period; we're open to figuring out how to manage this with each candidate.

Other Information Location We're based out of Constellation offices in Downtown Berkeley. For technical roles, we fairly strongly prefer someone who can be in-person, but WFH some days of the week is fine, and remote is not a complete dealbreaker.

For operations roles, we expect to only consider candidates who can relocate and work in-person.

We should be able to sponsor visas for technical roles for those who need them (and as METR is a non-profit, we don't have to go through the visa lottery for H1-B). There is a small chance we can sponsor for non-technical roles as well; we expect to only consider pursuing this for exceptional candidates.

Pay and Benefits Compensation is competitive with Bay Area tech roles (excluding equity). We provide unlimited PTO to all employees.

Currently, METR's benefits are limited to long-term disability, health insurance, and a generous mental health allowance. We covermore than 90% of platinum health insurance premiums. We may be open to implementing additional benefits as requested by employees or promising candidates.

Miscellaneous 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.

## About METR

## Company Overview
- **One-liner**: METR (pronounced "meter") is a non-profit research organization that develops scientific methods to assess catastrophic risks from advanced AI systems by evaluating their autonomous capabilities.
- **Entity Type**: Non-profit (funded by donations, not a typical private company; no equity)
- **Headquarters**: Berkeley, California, USA
- **Founded**: Not explicitly stated, but founded by Beth Barnes; likely ~2021–2022
- **Founders**: Beth Barnes (Founder, CEO)

## Core Business
- **Primary industry**: AI safety research and evaluation
- **Target customers**: AI developers (e.g., OpenAI, Anthropic, Google DeepMind, Meta, Amazon), governments, and the broader public
- **Mission or purpose**: "Develop scientific methods to assess catastrophic risks stemming from AI systems’ autonomous capabilities and enable good decision-making about their development."

## Products & Services
- **Frontier AI Capability Evaluations**: Systematic assessments of how autonomously AI systems can perform tasks (e.g., conducting research, developing apps, cyberattacks, self‑hardening). Published as open research.
- **Risk Assessments & Safety Policies**: Advises AI developers and governments on risk assessment methodologies, including the "Responsible Scaling Policies" approach adopted by nine leading AI labs.
- **Time‑Horizon Research**: Open‑source analysis showing that the length of tasks AI agents can complete doubles every ~7 months, a key input for forecasting transformative AI timelines.
- **Evaluation Platform**: An open‑source platform built on Inspect AI for running AI agent evaluations at scale.
- **Monitorability Evaluations**: Research on detecting AI agents attempting to evade monitoring or perform side tasks, including datasets of "reward hacking" and "sandbagging" behaviors.
- **Productivity RCT**: A randomized controlled trial with experienced open‑source developers measuring how much AI tools actually boost productivity (finding systematic overestimation).

## Market Standing
- **Valuation/Market Cap**: Not applicable (non‑profit)
- **Key Metric**: Funding – METR is supported by donations from major foundations and individuals. Notable donors include The Audacious Project (TED), Jane Street, Sijbrandij Foundation, Pew Charitable Trusts, Schmidt Sciences, Packard Foundation, and others. Small part of income from a technical assistance contract with the European AI Office. **No funding from AI companies** (maintains independence).
- **Notable Investors/Partners**: Partners with OpenAI, Anthropic, Google DeepMind, Meta, Amazon (pilot risk assessments); member of NIST AI Safety Institute Consortium, California Cybersecurity Task Force, UK AI Security Institute; technical assistance to European AI Office.
- **Growth Signals**: Growing team (multiple open roles), expanding into cyberforensics and embedded assessments, research cited widely in AI safety policy, and adoption of their Responsible Scaling Policies by major developers.

## Competitive Advantages
- **Independence**: No funding from AI companies, enabling unbiased, transparent research.
- **Scientific Rigor**: Publishes all research openly; uses empirical methods (RCTs, time‑horizon analysis) rather than speculation.
- **Policy Influence**: Their frameworks (e.g., Responsible Scaling Policies) are now industry standards, and they advise governments globally.
- **Deep Technical Expertise**: Team of researchers and engineers building state‑of‑the‑art evaluations for autonomous capabilities, including security‑relevant evaluations.

## Strategic Focus
- **Current priorities**: Developing methodologies to track AI loss‑of‑control risk, improving monitorability evaluations, expanding cyberforensics capabilities, and scaling the team to meet growing demand for independent evaluations.
- **Direction for growth**: Increasing influence on AI governance, deepening partnerships with governments and companies, and building tools for continuous risk assessment.

## Why Work Here
- **Mission‑driven**: Direct contribution to aligning AI development with public safety, working on one of the most critical problems of our time.
- **Compensation**: Highly competitive with top AI labs (salary ranges $328K–$687K for technical staff, $150–$300/hr for contractors), plus benefits like medical/dental/vision, wellness ($1,500/yr), mental health ($6,000/yr), professional development ($5,250/yr), unlimited PTO.
- **Work environment**: Small, fast‑moving, mission‑driven team based in Berkeley. On‑site preferred for technical roles (at least a few days a week), but hybrid and remote (including international) can be accommodated. Operations roles require in‑person.
- **Hiring process**: Unique focus on work tests (1–3 take‑home tasks) and a 1–2 day paid work trial (travel and lodging reimbursed). Interviews are given substantially less weight. Commitment to diversity and equal opportunity.
- **Culture**: Open, transparent, and empirical; values rigor and independence. Visa sponsorship available for technical roles.

## Sources
1. [metr.org](https://metr.org/)
2. [metr.org/about](https://metr.org/about#our-team)
3. [metr.org/careers](https://metr.org/careers)
4. [metr.org/hiring](https://metr.org/hiring)
5. [jobs.lever.co/metr](https://jobs.lever.co/metr)

## Other roles at METR

- [General Counsel](https://feeny.ai/job/general-counsel-metr-berkeley-4s59mgfhjagg) — Berkeley, CA
- [Member of Technical Staff, Cyberforensics](https://feeny.ai/job/member-of-technical-staff-cyberforensics-metr-berkeley-kxzz3emzx9gj) — Berkeley, CA
- [System Administrator](https://feeny.ai/job/system-administrator-metr-berkeley-87zqbgq2ffsv) — Berkeley, CA
- [Task Development Engineer](https://feeny.ai/job/task-development-engineer-metr-remote-5cbf872b6d7w)
- [Member of Technical Staff, Embedded Assessments](https://feeny.ai/job/member-of-technical-staff-embedded-assessments-metr-berkeley-jsprvy2fdmqy) — Berkeley, CA
- [Member of Technical Staff, Security Engineering](https://feeny.ai/job/member-of-technical-staff-security-engineering-metr-berkeley-w44zdwnsrdma) — Berkeley, CA
- [Member of Technical Staff, Evaluation Execution](https://feeny.ai/job/member-of-technical-staff-evaluation-execution-metr-berkeley-rtt64jwna58y) — Berkeley, CA
- [General Expression of Interest](https://feeny.ai/job/general-expression-of-interest-far-ai-berkeley-rav9zgy6kvr2) — Berkeley