AI Safety Jobs

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 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.

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 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 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.

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.

The Research Scientist role involves leading research on risks in frontier AI models, designing evaluation methodologies, and authoring safety reports to advance AI safety.

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 Research Scientist role involves conducting research on the well-being and moral status of AI systems, focusing on empirical studies related to AI safety and alignment.

The role focuses on identifying and accelerating technical talent in AI safety, advising on safety strategy, and running courses related to AI safety.

The Data Operations Manager will build and scale data operations for research teams focused on frontier AI capabilities, ensuring high-quality data for model performance and safety alignment.

The Strategic Projects Lead for the Red Team will manage partnerships with frontier AI labs, focusing on stress-testing AI models, generating adversarial data, and running evaluations to ensure safety and robustness.

The role involves building systems for high-quality reinforcement learning data, focusing on AI safety research and ensuring the quality of training data.

The role involves analyzing user behavior data to provide insights on safety concerns and defining metrics to measure success in deploying safe AI systems.

This course focuses on AI security research, teaching participants about attacks on AI systems and defenses, including adversarial examples and model tampering.