597 active roles found
The Trade Compliance Counsel will operationalize global trade compliance with a focus on sanctions and export controls as they apply to AI, advising on compliance laws and designing policies for Reflection's AI products.
Lead the Commercial Applied AI Architect team to drive the adoption of frontier AI while ensuring the deployment of safe and reliable AI systems across commercial accounts in Europe.
The role involves managing a team responsible for user safety and risk operations, ensuring compliance with regulations, and handling high-risk safety cases related to AI systems.
The role involves building a data-centric culture to enhance decision-making processes related to the safety and reliability of AI models, collaborating closely with engineering and research teams.
The Engineering Manager will lead the Safeguards Data Infrastructure team, focusing on building privacy-preserving data interfaces and ensuring compliance with data regulations, including HIPAA.
This course teaches core concepts in AI alignment and AGI safety, covering alignment problems, technical approaches, and governance practices.
The Red Teaming Fellowship involves conducting adversarial testing of AI systems to identify vulnerabilities and safety risks, executing red teaming exercises, and analyzing model behavior.
This fellowship involves conducting research on computing power supply chains and dependencies to inform AI security and policy decisions in France and Europe.
This fellowship focuses on advancing cryptographic verification mechanisms for AI training, addressing safety and verification standards in AI.
This fellowship program focuses on developing expertise in AI Safety, Security, and Governance through training and hands-on research.
The role involves maintaining facilities operations for a workspace focused on AI safety research, supporting logistics and vendor relationships.
The AI Governance Engineer role involves the technical implementation of AI governance solutions, translating compliance requirements into actionable configurations, and ensuring responsible AI deployment.
The Engineering Manager will lead the Privacy Engineering team, focusing on building privacy infrastructure and ensuring compliance with regulations like GDPR and the EU AI Act, while addressing privacy challenges in AI systems.
The Implementation Engineer, AI Governance role involves owning the technical journey of implementing AI governance solutions, ensuring compliance and addressing model risk in customer environments.
The role involves managing model launches and building evaluations to measure AI model performance, directly connecting to AI safety and alignment through the development of agentic evaluations.
The role involves leading the Trust & Safety Data Engineering team to build data systems that detect and mitigate risks, ensuring responsible deployment of AI products.
Lead research on risks in frontier AI models, focusing on evaluation methodologies and safety reports.
The Research Engineer role involves implementing and running safety evaluations on frontier AI models, focusing on risks associated with loss-of-control and harmful manipulation.
The role involves designing and deploying machine learning systems specifically for AI safety and security applications, including model evaluations and adversarial red teaming.
This role involves grants and fellowships for research on the governance and legal implications of potentially sentient AI systems, focusing on societal responses and technical research related to AI consciousness.
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