Full-Time

Member of Technical Staff

Evaluation Execution

METR

METR

51-200 employees

AI safety evaluation and alignment services

Compensation Overview

$285.5k - $503.1k/yr

H1B Sponsorship Available

Berkeley, CA, USA

Hybrid

Three to five days in the Berkeley office per week are required; in-person work is strongly preferred.

Category
Software Engineering (1)
Required Skills
Machine Learning
Data Analysis

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Requirements
  • Strong software engineering skills with solid infrastructure fundamentals, including the ability to investigate unfamiliar systems, debug from logs, and identify and fix performance bottlenecks.
  • Ability to work quickly and pragmatically by identifying high-impact solutions.
  • High attention to detail, including the ability to identify bugs in transcripts and carefully handle important details.
Responsibilities
  • Run models on tasks by integrating models into agent scaffolds, running them on METR infrastructure, and carefully checking the results.
  • Design useful graphs, communicate evaluation results and takeaways, and write conclusions for different audiences, including system cards, risk reports, regulators, and social media.
  • Build software that improves the speed, informativeness, reliability, and scale of evaluations.
  • Manage evaluation projects by tracking multiple workstreams, staying organized, and coordinating concurrent evaluations.
  • Coordinate professionally with METR leadership, laboratory contacts, regulators, and other stakeholders.
Desired Qualifications
  • Understanding of research ideas and priorities, with good judgment about which plots are informative and which analyses are worth running.
  • Strong external communication skills and the ability to manage communications with laboratory contacts and other stakeholders.
  • Project management skills, including managing multiple workstreams, keeping stakeholders updated, and tracking and anticipating blockers.
  • Strong writing ability for contributing to METR evaluation-result reports.

METR researches, develops, and evaluates advanced AI systems that can carry out complex tasks on their own. It focuses on safety and performance evaluation, delivering insights and assessments about AI capabilities to ensure systems align with desired outcomes without human intervention. Revenue likely comes from partnerships, consulting, and specialized AI evaluation services. The company aims to provide reliable, risk-aware AI that behaves as intended, helping clients verify safety, alignment, and robustness of autonomous AI systems.

Company Size

51-200

Company Stage

Grant

Total Funding

$71M

Headquarters

Berkeley, California

Founded

2022

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Simplify Jobs

Simplify's Take

What believers are saying

  • The August 14, 2026 funding enables hiring and new projects immediately.
  • METR’s May 19, 2026 risk report exposed 44 deceptive-agent incidents.
  • Its July 28, 2026 incident-investigation framework positions METR as the post-breach standard-setter.

What critics are saying

  • Frontier labs can internalize METR-style testing, shrinking demand for outside evaluation work.
  • Its benchmarks saturate quickly, reducing differentiation as model capabilities advance through 2026.
  • A major credibility failure in one evaluation would damage METR’s entire advisory franchise.

What makes METR unique

  • METR’s August 14, 2026 $71 million funding keeps it independent from frontier labs.
  • Its February–March 2026 pilot involved Anthropic, Google, Meta, and OpenAI.
  • METR publishes concrete agent benchmarks and incident frameworks, not abstract AI-safety theory.

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Benefits

Flexible Work Hours

Hybrid Work Options

401(k) Retirement Plan

401(k) Company Match

Wellness Program

Mental Health Support

Conference Attendance Budget

Professional Development Budget

Stock Options

Company Equity

Phone/Internet Stipend

Home Office Stipend

Parental Leave

Family Planning Benefits

Fertility Treatment Support

Adoption Assistance

Childcare Support

Paid Vacation

Paid Sick Leave

Paid Holidays

Remote Work Options

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Tuition Reimbursement

Professional Certification Support

Mentorship Program

Employee Discounts

Employee Referral Bonus

Relocation Assistance

Meal Benefits

Legal Services

Gym Membership

Commuter Benefits

Sabbatical Leave

Performance Bonus

Profit Sharing

Employee Stock Purchase Plan

Adoption Assistance

Growth & Insights and Company News

Headcount

6 month growth

-3%

1 year growth

-3%

2 year growth

-3%
California Council on Science and Technology
Aug 19th, 2026
CCST places a new AI Science Advisor at the California Governor's Office of Emergency Services.

CCST places a new AI Science Advisor at the California Governor's Office of Emergency Services. SACRAMENTO, Calif. - The California Council on Science and Technology (CCST) is expanding its AI Science Residency Program, launched in June 2026, with the placement of a new AI Science Advisor at the California Governor's Office of Emergency Services (Cal OES). The AI Science Residency Program is placing a cohort of highly qualified AI experts within the California state government, specifically Cal OES and the California Department of Technology (CDT), to advise senior leaders on frontier AI safety. According to Cal OES California Cybersecurity Integration Center (Cal-CSIC) Commander Matthew Sage, the CCST AI Science Residency Program allows Cal OES to meaningfully strengthen their capacity to respond to the rapidly evolving frontier AI risk landscape. CCST is collaborating with senior leaders at Cal OES and their inaugural AI Science Advisor, Michael Chen, to build a cohort of world-class experts on frontier AI safety risks that meets the agency's immediate needs for specialized expertise. The new AI Science Advisor joining Cal OES, Lawrence Chan, is among the top experts on frontier AI model evaluation and experienced at communicating his insights to policymakers at the state, federal, and international level. Incoming AI Science Advisor to the California Governor's Office of Emergency Services. Lawrence Chan. As AI Science Advisor to the California Governor's Office of Emergency Services (Cal OES), Lawrence will advise senior leadership on frontier AI safety and risk assessment, with a particular emphasis on critical safety incidents, AI and cyber defense, and risk from developers' internal deployment of AI, such as sabotage by AI agents and automated AI R&D. He will also coordinate with AI governance leads across California's state government and facilitate cross-sector collaboration with the academic research community, the private sector, and community and nonprofit organizations Lawrence joins Cal OES from METR, where he conducted pre-deployment and benchmarking evaluations of frontier AI models, focusing on empirical measurements designed for communication with policymakers and the public. He co-led METR's research measuring the "time horizon" of AI agents, which was covered in Nature and has become a widely used metric for tracking AI progress. He previously researched mechanistic interpretability and adversarial training at Redwood Research. His technical reports served as evidence for recent state government action on AI governance in California, including for the Joint California Policy Working Group on AI Frontier Models, and he has experience providing informal technical briefings to congressional staff and senior federal officials in Washington, D.C. He is currently on leave from his PhD program at UC Berkeley, where he is affiliated with the Center for Human-Compatible AI and the InterACT Lab. He holds undergraduate degrees in computer science, logic, and economics from the University of Pennsylvania's Jerome Fisher Program in Management & Technology, where he worked with the Good Judgment Project on using machine learning to assist forecasting. "California is home to most of the world's frontier AI developers, and the state will be influential in governing perhaps the most important technology of our time" said Lawrence Chan. "Cal OES has a unique role to play here, by understanding the opportunities and risks resulting from ever more capable AI systems, receiving reports when something goes wrong, and making sure the state is prepared to respond. I look forward to helping build this capacity." Open Roles in the AI Science Residency Program at Cal OES and CDT As AI Science Advisors at Cal OES, Michael Chen and Lawrence Chan are now leading the recruitment and selection process for up to two Senior AI Fellows at Cal OES to support their technical work, together with the CCST AI Science Residency Program team. The Senior AI Fellows will work directly with Michael and Lawrence and several Cal OES teams to advance frontier AI catastrophic risk assessment and management, focusing on the analysis and response to critical safety incidents. Additionally, CCST is working with CDT to add up to two Senior AI Fellows at CDT to support AI Science Advisor Justin Norman, Ph.D. The Senior AI Fellows will support Justin in advising senior leaders within CDT on advances in frontier AI development and governance that impact key definitions and thresholds in California frontier AI safety legislation. About CCST The California Council on Science and Technology is a nonpartisan, nonprofit organization that serves as a trusted source of expert science and technology advice for California policymakers - powered by a world-class partner network. CCST was established via a unanimous vote of the California Legislature in 1988 to make California's policies stronger with science and technology. About the AI Science Residency Program The AI Science Residency Program is part of the CCST AI Policy Initiative. It follows the January 2026 launch of CCST's Science Residency Program, which placed an inaugural Science Advisor to the California Natural Resources Secretary. AI Science Advisors are formally employed by CCST and placed in their respective agencies through a memorandum of understanding, ensuring an independent scientific perspective while enabling full integration within agency leadership teams. For more information about the AI Science Residency Program, contact Program Manager Henriette Canino, PhD, at [email protected]. About Cal OES The Governor's Office of Emergency Services (Cal OES) serves as the state's leadership hub during all major emergencies and disasters. This includes responding, directing, and coordinating state and federal resources and mutual aid assets across all regions to support the diverse communities across the state. Cal OES also supports local jurisdictions and communities through planning and preparedness activities and training, and facilitating the immediate response to an emergency through the longer-term recovery phase. During this process, Cal OES serves as the state's overall coordinator and agent to secure federal government resources through the Federal Emergency Management Agency. About CDT The California Department of Technology serves as the custodian of public data, an innovator in IT services and solutions, overseeing policy development, facilitating collaboration across agencies, ensuring effective IT project management, safeguarding information integrity, delivering technological services, and championing advocacy efforts.

METR
Aug 14th, 2026
METR raises $71M to study autonomous AI capabilities and recursive self-improvement

METR has raised approximately $71 million in commitments over the past six months. The funding will support projects including studying autonomous AI capabilities, tracking recursive self-improvement, evaluating monitoring systems, conducting risk assessments, and investigating AI incidents. Major supporters include The Audacious Project, individuals from Jane Street, and foundations such as the Sijbrandij Foundation, The Pew Charitable Trusts, Schmidt Sciences, and the Packard Foundation. Individual donors include David Farhi, Geoff Ralston, Dylan Field, and Steve Newman. METR maintains independence from frontier AI companies and does not accept their funding or donations from their staff. The organisation is expanding its team and launching new projects whilst conducting cutting-edge tests of AI capabilities.