Curated AI safety and governance jobs

Senior privacy engineering role at Anthropic focused on building privacy-preserving systems for AI training and inference, translating AI/privacy regulations into technical controls, and conducting privacy reviews and threat modeling for new models and features.

Internship focused on ML research engineering for LLM and agent evaluation, red-teaming, guardrails, and model safety/robustness tooling.

Research Scientist focused on interpretability and techniques for understanding and steering large AI models, with explicit connection to making models safer and supporting safe model development.

Operations and program lead for Harvard-MIT AI Safety Workshops and related AI safety community events, supporting AI safety career development and workshop programming rather than doing research directly.

Senior fellowship placed at Cal OES to advise on state-level AI policy and governance, including AI safety, transparency, catastrophic risk management, and frontier/generative AI risk assessment.

One-year senior fellowship placed at the California Department of Technology to advise on AI policy and governance, with explicit focus on frontier AI safety, risk management, transparency, and California AI safety legislation.

Research Scientist role focused on AI safety research, model behavior studies, interpretability, and building reproducible tooling for safe AI deployment.

Policy and operations role at an AI policy organisation, with responsibilities in policy research, analysis, communications, and organisational operations.

Contract researcher mapping frontier AI and adjacent technology supply chains and producing strategic proposals for government and industry stakeholders; relevant because the role explicitly includes AI governance, compute infrastructure, and frontier AI policy-adjacent analysis.

Assistant AI Security Software Engineer focused on AI security research, AI red teaming, adversarial machine learning, and building tools for AI security applications.

Research role on OpenAI’s Chat and Multimodal Safety team focused on multimodal safety research, safety evaluations, post-training, and interventions to ensure frontier models behave safely.

Subject matter expert role focused on child safety enforcement for generative AI models, including evaluations, red-teaming, detection systems, and release gating for harmful content.

Staff software engineer building web applications and backend systems for AI model evaluation, real-time threat detection, and adversarial red teaming for frontier AI deployments.

Senior full-stack software engineer role building AI model evaluation, threat detection, and adversarial red teaming products for frontier labs.

Machine Learning Engineer focused on AI safety solutions, including adversarial testing, model evaluation, robust inference, and monitoring for secure deployment of AI systems.

Research engineer role focused on AI safety evaluations, interpreting model behavior for misalignment, and implementing controls for autonomous AI deployments.

Lead multidisciplinary research teams at the AI Security Institute to advance frontier AI safety and risk mitigation, including evaluations, benchmarks, and safeguards for advanced AI systems.

Senior director role building and managing AI policy talent networks, headhunts, and programs that place experienced professionals into government and other AI policy roles.

Engagement manager role leading paid campaigns and client work focused on AI risk communications, educating decision makers, and supporting the AI safety ecosystem.