The role involves research and engineering to develop safe and trustworthy large language models, focusing on multimodal capabilities and ethical implications of AI.
CHFÂ 280K - CHFÂ 680K / year
672 active roles found
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672 active roles found
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.
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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.
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 Product Manager for Developer Productivity at Anthropic will oversee the developer experience and governance frameworks for AI-assisted development, ensuring safe collaboration between engineers and AI agents.
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 Solutions Architecture will lead a team to drive the adoption of AI technologies in enterprise settings, focusing on reliability and safety.
The Manager of Applied AI Architecture, Partnerships at Anthropic will lead a team to drive the adoption of frontier AI while ensuring safety standards are upheld in partnerships with cloud providers and system integrators.
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.