Curated roles
Browse roles focused on reducing risks from advanced AI systems, including alignment research, safety engineering, evaluations and related operations.
357 active roles found.
Senior TPM role on DeepMind's AGI Safety and Alignment team, driving technical execution for Gemini safety, evaluation infrastructure, monitoring, and risk mitigation across the model lifecycle.
Research scientist role on DeepMind’s AGI Safety and Alignment Team focused on alignment methods, interpretability, AGI control systems, and frontier safety evaluations.
Research scientist role developing and evaluating white-box methods to improve AI system safety and alignment, with emphasis on realistic evaluations, agentic coding, and threat models.
Technical Program Manager role leading GenAI Safety operations for Gemini and related models, coordinating training, evaluations, red teaming, and safety/alignment initiatives.
Senior manager role leading AI safety delivery, including frontier model evaluations, red teaming, safeguard testing, and client advisory work with government and frontier labs.
Researcher role at ARC focused on AI alignment research, mechanistic understanding of neural networks, and developing training objectives that encourage honest internal reporting.
Postdoctoral researcher in explainable AI focused on interpreting deep model internals, human-in-the-loop workflows, and rigorous evaluation of interpretability claims; relevant because it explicitly connects interpretability to AI safety and assurance evaluation.
Research scientist role on Gemini Safety and Behavior focused on LLM safety/security, jailbreak mitigation, red and blue teaming, and safety/alignment work for frontier GenAI models.
Penetration tester for Bosch's AI Safety & Security team, running safety evaluations and red-teaming against LLMs and agentic AI systems to find harmful outputs, prompt injection, and tool abuse.
Research Scientist role focused on frontier AI safety and security research, including AI system evaluations, audits, model behavior analysis, robustness, and policy compliance.
Product Manager role focused on Anthropic Safeguards systems for frontier models, including safety-by-design, safety evals, detections, interventions, and mitigation of deployment and user risks.
Research fellowship focused on AI alignment and safety research, including alignment challenges in language models and multimodal systems, with work on robustness, interpretability, and evaluation.
Research scientist role on DeepMind’s GenAI Safety team focused on production safety oversight for deployed models, including automated evaluations, misuse detection, and monitoring model alignment and misbehavior.
Product Manager role for Anthropic’s Safeguards team focused on building safety systems, safety evals, detections, and interventions to mitigate misuse and deployment risks for frontier AI products.
Manager role focused on multimodal model safety policy at OpenAI, designing behavioral safety policies, evaluation criteria, and safeguards for frontier AI models.
Program lead for BlueDot Impact’s Technical AI Safety Project Sprint, owning project scoping, participant selection, review, and acceleration for newcomers doing technical AI safety projects.
Research scientist role focused on AI safety, alignment, and model reliability for autonomous driving and ADAS, including safety validation, edge-case evaluation, and robust system behavior.
Penetration tester on Bosch's AI Safety & Security team, performing safety evaluations and red-teaming of LLMs and agentic AI systems to find prompt injection, jailbreak, and tool-abuse issues.
Lead BlueDot Impact’s technical AI safety course, owning curriculum, strategy, admissions, and participant acceleration for a program that trains people entering AI safety.
Senior AI researcher role focused on post-training evaluation, red-teaming, and RL gym audits for open-weight LLMs, with direct work on security capabilities and defensive alignment against indirect prompt injection.