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.
$350K - $850K / year
108 active roles found for Anthropic
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108 active roles found for Anthropic
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.
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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.
The Research Engineer, Discovery role at Anthropic focuses on developing infrastructure and evaluation frameworks to support the training and deployment of AI systems aimed at achieving scientific AGI.
The Research Engineer will work on advancing AI models in secure coding and vulnerability remediation, blending research and engineering in the field of cybersecurity.
The Model Quality Software Engineer will set technical direction for evaluation systems and research infrastructure, focusing on improving AI model capabilities and ensuring safety in AI systems.
The ML/Research Engineer, Safeguards role at Anthropic focuses on developing systems to detect and mitigate misuse of AI, ensuring safety and compliance in AI systems.
The Manager of Applied AI Architecture will lead a team to drive the adoption of AI systems in enterprise tech, focusing on safety, reliability, and beneficial AI deployment.
The Manager, Commercial Counsel, GTM will lead the legal team in shaping how AI technology reaches users and enterprises, focusing on commercial agreements and responsible AI development.
The Infrastructure Tax Lead at Anthropic will manage tax compliance and incentives for AI infrastructure, supporting the company's AI safety mission.
The role involves building platforms and tools for reinforcement learning, focusing on data collection, training observability, and ensuring the safety and reliability of AI systems.
The Research Manager for Interpretability at Anthropic will lead a team focused on understanding the internal workings of large language models, emphasizing mechanistic interpretability as a means to enhance AI safety.
The role involves driving the adoption of safe AI systems in federal civilian agencies, focusing on compliance and ethical AI development.
The Engineering Manager, GRC at Anthropic will lead the development of automated workflows and systems for governance, risk, and compliance, focusing on integrating AI capabilities to enhance compliance processes.
The Engineering Manager will lead efforts to improve model performance and ensure the safe development of AI systems at Anthropic.
The Commercial Counsel, GTM role at Anthropic focuses on supporting Go-to-Market teams with legal guidance on commercial agreements, while also engaging in AI safety and governance initiatives.
The Biological Safety Research Scientist at Anthropic will design and develop safety systems for AI, focusing on preventing misuse and ensuring responsible AI safety in the biological domain.
The Applied AI Architect role focuses on guiding enterprise customers in integrating AI systems safely and effectively, ensuring alignment with business objectives and technical implementation.