Curated roles
Browse roles focused on reducing risks from advanced AI systems, including alignment research, safety engineering, evaluations and related operations.
339 active roles found.
Lead role at DeepMind focused on threat modeling and safety evaluations for CBRNe risks in advanced AI models, supporting the Frontier Safety Framework and deployment decisions.
Funding call for foundational research on safety and risk in multi-agent AI systems, including emergent dynamics, trustworthy interaction infrastructure, and scalable monitoring and control.
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.
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 on Microsoft’s Futures Team focused on frontier risk and alignment, including frontier safety, normative model behaviour, alignment frameworks, evaluations, and mitigation pathways.
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.
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 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.
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.
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.