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.
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627 active roles found
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.
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Senior data platform engineering role building observability, evaluation, and monitoring infrastructure for LLMs and agentic applications, with explicit emphasis on trustworthy AI, safety, and compliance needs.
Senior applied AI scientist role building trust, guardrails, evaluators, and safety/security classifiers for LLM and agentic applications in production.
Senior product engineering role building AI observability and evaluation infrastructure for LLMs and agentic applications, with explicit responsible AI, transparency, security, and monitoring focus.
Role focused on model behavior, prompting, and evaluation pipelines for Perplexity's AI products, including pressure-testing capabilities and validating model behavior before rollouts.
Senior virology and biosecurity role at Google DeepMind focused on biosecurity mitigation, biology evaluations, and protecting frontier AI models from biological misuse.
Senior programme role leading The Elders’ AI work, centered on international AI governance, policy strategy, stakeholder engagement, and impact monitoring.
Senior security engineer role on DeepMind's Agentic Red Team focused on adversarial testing of AI agents, prompt injection, exploit development, and automated red-teaming frameworks for model safety.
Program manager for Anthropic's Responsible Scaling Policy, running the compliance/governance operations that gate model training, deployment, evaluations, and safety approvals.
Research positions in NLP and AI with a strong emphasis on trustworthy and safe AI, including agent reliability, evaluation science, interpretability, red-teaming, and robustness.
Senior governance role at DeepMind focused on technical AI governance, standards, government model evaluations, incident disclosure, and translating regulatory developments into launch and compliance practices.
Expression of interest for research engineers and scientists to work on frontier AI safety and security in the Chem Bio team, including evaluations, benchmarking, threat modelling, and safeguards for chemical and biological risks.
Contract research engineer role focused on frontier AI safety evaluations, dangerous behavior elicitation, and safety report writing for loss-of-control and harmful manipulation risks.
Remote researcher role producing public reviews of AI benchmarks, evaluating methodologies and implications for AI capabilities; adjacent to AI safety via model evaluations and capability assessment.
Senior technical AI safety applied research role focused on model evaluations, safety methods, red-teaming, and safety controls for frontier AI systems in a national security setting.
Senior research management role supporting AI safety programmes, including scoping and reviewing research, mentoring researchers, and running red-teaming and proposal development sessions focused on reducing AI risk.
Research scientist role at a non-profit AI safety lab focused on theoretical and empirical work on LLM-based agents, loss-of-control risks, and safety mitigations.
Temporary research assistant role at UNIDIR’s Centre of Excellence on AI, Peace and Security, supporting research, programme coordination, and stakeholder engagement on responsible AI and its security implications.