Curated AI safety and governance jobs

Senior backend/infrastructure engineer for BioTrust's verification platform, focused on auditability, access controls, data separation, and compliance-oriented security in a misuse-prevention context.

An 8-week in-person residency for engineers and researchers working on frontier AI security and verification, including projects to mitigate frontier AI risks and secure AI systems and infrastructure.

Full-time Congressional policy role leading Hill engagement, briefing offices, and developing AI-risk legislative proposals for Palisade Research.

Full-time policy role at Palisade Research focused on AI governance and legal/regulatory work, translating AI risk research into legislative and executive-branch proposals and advocating policy changes related to AI national security risks.

National security policy role focused on helping the national security community understand and respond to AI risks through policy and capability recommendations and external advocacy.

Policy role focused on building and executing AI policy engagement with Congress, the Executive Branch, media, and think tanks to advance Palisade Research's AI risk agenda.

Multiple in-person grantmaking and Chief of Staff roles on Coefficient Giving’s U.S. AI Policy team, focused on building U.S. AI governance capacity, supporting coalitions, and funding AI policy organizations.

State policy and public affairs role focused on OpenAI’s AI policy priorities, including guardrails for advanced AI models, legislative review, and engagement with state and local governments.

EU policy role focused on shaping OpenAI’s approach to AI-related legislative and regulatory issues in Brussels, including engagement with policymakers and support for regulation and industry standards.

Research engineer role focused on building and maintaining AI safety evaluation benchmarks, guardrails, and research on agentic failure modes.

Research scientist role focused on AI behavior failure modes, model evaluations, and safety research for LLM agents, including deception, misalignment, unsafe behavior, and frontier agent pressure-testing.

Three AI research engineer roles building the safety-pretraining stack for Apertus, including evaluation/red-teaming, synthetic data, and training systems for open frontier LLMs.

Research engineer role at DeepMind focused on frontier AI safety risk assessment, including measuring and mitigating advanced model risks, loss of control, and harmful manipulation.

Technical program management role leading frontier safety operations, safety frameworks, evaluations, and mitigation processes for Google DeepMind’s frontier AI development.

Research engineer role on DeepMind's Frontier Safety Mitigation team building evaluations, red-teaming, monitoring, and mitigations to reduce misuse and dangerous capabilities in frontier AI models.

Research role focused on AI ethics and policy, with responsibilities for identifying AI capability risks and building operational frameworks and evaluation protocols to mitigate model risk.

Research role on Microsoft’s Futures Team focused on frontier risk and alignment, including frontier safety, normative model behaviour, alignment frameworks, evaluations, and mitigation pathways.

Senior leadership role leading GovAI’s US policy research and DC engagement on AI policy, regulation, and stakeholder relationships.

Senior ML engineer role building product experiences, evaluation systems, and trustworthy language-model workflows for research and high-stakes decision-making; relevant because it explicitly emphasizes careful evaluations, process supervision, and safer AI systems.