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108 active roles found for Anthropic
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 Safeguards Enforcement Analyst will ensure AI models meet safety and policy standards through evaluations and mitigations, collaborating with cross-functional teams.
The Research Scientist, Interpretability role at Anthropic focuses on mechanistic interpretability to enhance the safety and understanding of AI systems.
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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.
Technical research role on Anthropic's Frontier Red Team focused on evaluating and defending against advanced AI-enabled cyber threats, including autonomous capability evaluations, safety defenses, and policy-relevant demonstrations.
The role involves conducting research on AI safety and alignment, focusing on understanding and steering the behavior of powerful AI systems.
Research Engineer/Scientist on Anthropic’s Alignment Science team, conducting experimental AI safety research on powerful future systems, safety evaluations, alignment stress-testing, and related safeguards work.
The role focuses on building reliable and interpretable AI systems, emphasizing safety and societal impacts.
The Research Engineer/Research Scientist role at Anthropic focuses on developing large language models with an emphasis on safety, alignment, and societal impacts.
The role involves research and engineering to develop safe and trustworthy large language models, focusing on multimodal capabilities and ethical implications of AI.
The Research Engineer will enhance AI model safety and alignment through post-training techniques, impacting the quality and capabilities of production models.
The Research Engineer will focus on post-training processes to enhance AI model safety and alignment, implementing techniques to improve production model quality.
The Research Engineer will work on training and optimizing large-scale AI models, ensuring their reliability and safety, and addressing production issues.
The Research Engineer will work on training and optimizing production pretrained models, ensuring their reliability and efficiency, with a focus on the societal impacts and safety of AI systems.
The Research Engineer, Pretraining role at Anthropic focuses on developing large language models with an emphasis on safety, alignment, and societal impacts.
The Research Engineer, Performance RL role focuses on advancing AI models' capabilities in safely writing code, collaborating with alignment teams to ensure safety and effectiveness.
The Research Engineer role focuses on advancing the safety and capabilities of large language models through reinforcement learning, collaborating with alignment teams to ensure safe AI systems.
The Research Engineer will redesign how language models interact with external data sources, focusing on safety and societal impacts.
The Research Engineer, Interpretability role at Anthropic focuses on building infrastructure for interpretability research to enhance AI safety through mechanistic understanding of models.
The Research Engineer will design and maintain infrastructure for studying AI's economic impact, collaborating with various teams to ensure data reliability and compliance.