The Research Engineer will focus on the reliability and integrity of AI training environments and evaluations, ensuring they are stable and high-quality.
Added 4 days agoSan Francisco, CAAI Safety & Alignment$350K-$850K / year
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The Research Engineer will focus on the reliability and integrity of AI training environments and evaluations, ensuring they are stable and high-quality.
The Research Engineer will develop tools and infrastructure for evaluating and optimizing reward signals in AI systems, focusing on enhancing model behavior safety and efficiency.
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 improve AI models by developing training environments and QA frameworks, focusing on safety and reliability in AI systems.
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 Research Engineer will design AI monitoring systems to analyze large datasets, focusing on misuse prevention and model audits, collaborating with safety teams.
The role focuses on prompt engineering and evaluation development to ensure AI model quality and safety, collaborating with product teams to enhance user experiences.
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