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Thinking Machines Lab

Researches AI and builds tools to customize models

Policy Researcher

Strategy & Management ConsultingPosted on Nov 10
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • Experience conducting original research on AI governance, technology policy, economics, political economy, emerging technology, or another field relevant to the societal impacts of AI.
  • Ability to work with technical researchers and translate between technical details, societal impacts, and policy design.
  • A degree in history, politics, economics, international affairs, artificial intelligence, or a related discipline.
  • Ability to explain complex governance topics to audiences with low context.
  • Comfort operating under uncertainty and developing views on questions with little established literature or consensus.

Responsibilities

  • Develop the policy research agenda in collaboration with leadership and technical teams, focusing on open-weight models, customization, and human-AI collaboration.
  • Help set the organization's views proactively on policy topics, including long-term safety, societal impacts, and future legislation.
  • Analyze existing AI policy proposals to identify gaps the organization is positioned to fill.
  • Produce internal and public-facing policy research that introduces new frameworks and gives others a foundation to build on.
  • Build relationships with think tanks, policy organizations, and academic AI governance communities.
  • Design external research partnerships, including commissioned research, grants programs, or convenings.

Desired Qualifications

  • Authored independent publications, such as magazines or Substacks, that generated significant discourse in the AI governance community.
  • Deep technical understanding of AI that informs governance thinking.
  • Ability to run experiments with quantitative components, such as economic models.
  • Experience collaborating across academic, industry, and nonprofit policy communities.
  • Worked on open weights safety or policy.

About the Company

Thinking Machines Lab

Researches AI and builds tools to customize models

Thinking Machines Lab researches and builds AI systems, aiming to make AI more widely understood, customizable, and capable. It publishes much of its research openly on its Connectionism blog, starting with work on making AI models give consistent answers to the same question. Its first product, Tinker, lets researchers and developers fine-tune open-weight AI models on their own data while Thinking Machines runs the computing clusters behind it, so customers focus on their data and training methods instead of managing hardware and pay for the computing they use. Former OpenAI chief technology officer Mira Murati founded the lab in 2025, and it is based in San Francisco.

Company size
201-500
Company stage
Series A
Total funding
$7B
Headquarters
San Francisco, CA
Founded
2024

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