The Research Engineer will work on training and optimizing large-scale AI models, ensuring their reliability and safety, and addressing production issues.
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84 active roles found for Anthropic
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.
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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, 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, 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 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 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.
The Applied AI Architect role focuses on integrating and deploying AI systems safely and reliably, serving as a technical advisor to customers while ensuring alignment with AI safety and governance standards.
The Applied AI Architect role at Anthropic focuses on integrating AI solutions into enterprise technology stacks while ensuring safety and reliability, and involves developing evaluation frameworks for AI performance.
The Applied AI Architect role at Anthropic focuses on providing technical guidance to enterprise customers for integrating AI solutions, emphasizing safety and reliability in AI systems.