499 active roles found
Help build and evaluate safeguards for frontier AI systems by working across research, engineering, and policy to reduce misuse risk and improve deployment safety.
Expression of interest in future openings at Harmony Intelligence, an AI safety research and engineering company focusing on catastrophic risk evaluations and red-teaming.
Help build and evaluate safeguards for frontier AI systems by working across research, engineering, and policy to reduce misuse risk and improve deployment safety.
The AI Trust and Operations Manager ensures IFS AI capabilities are safe, compliant, and secure, focusing on governance, ethics, and risk management.
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The role involves creating and optimizing deep learning architectures with a focus on AI safety methods for sensor fusion in autonomous driving.
The role focuses on leading data governance and privacy programs, ensuring compliance with regulations, and aligning data practices with organizational values.
Intern role focused on creating social media and video content about AI safety and biosecurity.
The role involves managing workspace and logistics for AI safety research programs, organizing events for researchers, and overseeing daily operations.
Research role focused on biosecurity topics including AI for biology and biosafety of AI, involving both technical and policy work.
Facilitator role focused on developing talent in AI safety through discussion-based learning and mentorship.
The role involves deploying Valthos's platform in customer environments, focusing on understanding user needs and integrating AI systems to address biological threats.
Fellowship focused on research in AI security and technology policy at RAND Corporation.
The Launch Sequence initiative seeks proposals for projects that prepare for advanced AI, focusing on science, security, and institutional adaptation.
Research positions focused on AI safety, security, and alignment within the COMPASS research group at the ELLIS Institute Tübingen.
The Technical Director, AI Safety will lead the technical strategy for AI safety, manage an R&D team, and shape safety solutions and policy.
The role involves operationalizing risk management frameworks for frontier AI companies, focusing on safety evaluations, mitigation measures, and conducting red-teaming assessments.
The Research Scientist role involves solving research problems related to AI evaluation, robustness, and red teaming of language models.
This role invites individuals to engage in research on AI model threats, participate in evaluations, and influence AI policy initiatives.
Internship focused on developing a reliability platform for LLM applications, including safety testing and verification of AI models.
The role focuses on building a platform for training and evaluating interpretable AI systems, emphasizing safety and reliability.