Find roles in AI safety, AI governance, AI policy, evaluations, red teaming, responsible AI and frontier AI labs.
165 active roles found for Anthropic
The Senior Staff Software Engineer, API at Anthropic will lead technical strategy for the Claude API, ensuring its reliability and responsible deployment in AI applications.
The Senior+ Software Engineer for Research Tools at Anthropic will develop infrastructure and applications to support AI safety research, focusing on model evaluation and understanding model behavior.
The Senior Software Engineer, Inference at Anthropic will build and maintain systems for AI model inference, focusing on reliability and societal impacts.
The Senior Research Scientist will lead research on reward models to improve AI alignment and safety, focusing on human preferences and mitigating reward hacking.
The role focuses on managing HIPAA compliance operations within Anthropic's product portfolio, ensuring adherence to security and AI safety expectations.
The Security Labs Engineer role at Anthropic focuses on addressing high-risk security challenges related to AI systems, including adversarial threats and innovative security projects.
The role involves managing sanctions and export controls compliance for AI products, ensuring adherence to evolving regulations and advising internal teams on compliance matters.
The Safeguards Policy Analyst will design and implement policies to combat fraud and scams in AI systems, focusing on threat modeling and enforcement strategies.
The Safeguards Enforcement Analyst will ensure AI models meet safety and policy standards through evaluations and mitigations, collaborating with cross-functional teams.
The Safeguards Analyst will focus on detecting and mitigating human exploitation and abuse through enforcement workflows, ensuring AI systems are used safely and responsibly.
The Research Scientist, Societal Impacts role involves analyzing AI behavior and societal impacts, building evaluations for AI safety, and collaborating across teams to improve AI systems.
The Research Scientist, Interpretability role at Anthropic focuses on mechanistic interpretability to enhance the safety and understanding of AI systems.
The Research Scientist will evaluate and defend against societal risks from advanced AI models, focusing on red teaming and emerging risks.
The Research Operations Specialist will manage the production of system cards and safety documentation, coordinating contributions from various teams to ensure accuracy and consistency in AI safety claims.
The Research Lead for Training Insights at Anthropic will develop strategies for evaluating AI model capabilities, focusing on safety and governance through innovative evaluation methodologies.
The Research Engineer, Universes role at Anthropic focuses on developing training environments for safe AI systems and includes responsibilities for building evaluations to measure AI capabilities.
The Research Engineer / Scientist will focus on the societal impacts of AI systems, contributing to research publications, policy campaigns, and safety systems.
The Research Engineer / Scientist will focus on developing tools and frameworks to defend against AI-enabled cyber threats, contributing to AI safety and policy discussions.
The role involves conducting research on AI safety and alignment, focusing on understanding and steering the behavior of powerful AI systems.
The role involves conducting research on AI safety and alignment, focusing on understanding and steering the behavior of powerful AI systems.
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