Join our team

Build and maintain MATS' internal infrastructure, including databases, data collection forms, and integrations. Refactor legacy systems and collaborate across teams to improve infrastructure and establish best practices. Create ambitious, shared infrastructure for the AI safety talent ecosystem. Requires strong database design skills and a product mindset; software engineering or LLM-assisted coding proficiency preferred.

Own MATS' full applicant process across 3+ high-volume cycles per year (100+ fellows, 50+ mentors per cohort). Interface with mentors at Anthropic, Google DeepMind, and other organizations to understand talent needs. Design applications, coordinate evaluations, manage reviewers, and prepare applicant shortlists. Develop outreach strategy to attract top talent. Requires strong judgment in evaluating technical/policy candidates and excellent project/stakeholder management; recruiting or structured evaluation experience preferred.

Lead a sub-team of Research Managers to scale research management capacity. Manage and develop Research Managers, ensure scholars achieve milestones, and contribute to strategic development. May also directly manage scholars. Requires 3+ years management experience and 2+ years in a technical industry.

Accelerate and guide AI safety researchers, facilitating high-impact projects. Work with mentors and scholars to provide feedback, drive projects to completion, and support career development. May specialize in theory, engineering, management, or communication. Requires 2-5 years experience in project management, research management, people management, technical research, governance, or mentoring.

Build and operate the research compute infrastructure that powers MATS’ AI safety fellows and mentors. Manage GPU, API, and cloud platforms; administer budgets and access controls; and ensure reliable, secure, and scalable compute systems that support engineering workflows. Collaborate directly with researchers to troubleshoot issues, streamline workflows, and improve internal tooling. Ideal for technically strong operators with experience in IT, systems administration, or infrastructure engineering who enjoy both user-facing support and infrastructure ownership.