Senior Research Scientist, Reward Models
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.
What this role actually needs.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Responsibilities: - Lead research on novel reward model architectures and training approaches for RLHF - Develop and evaluate LLM-based grading and evaluation methods, including rubric-driven approaches that improve consistency and interpretability - Research techniques to detect, characterize, and mitigate reward hacking and specification gaming - Design experiments to understand reward model generalization, robustness, and failure modes - Collaborate with the Finetuning team to translate research insights into improvements for production training pipelines - Contribute to research publications, blog posts, and internal documentation Company context: Anthropic is an AI safety company building Claude, a frontier-model assistant for developers, enterprises, and consumers.
Day-to-day expectations
Anthropic lists these responsibilities for the Senior Research Scientist, Reward Models role.
- Lead research on novel reward model architectures and training approaches for RLHF
- Develop and evaluate LLM-based grading and evaluation methods, including rubric-driven approaches that improve consistency and interpretability
- Research techniques to detect, characterize, and mitigate reward hacking and specification gaming
- Design experiments to understand reward model generalization, robustness, and failure modes
- Collaborate with the Finetuning team to translate research insights into improvements for production training pipelines
- Contribute to research publications, blog posts, and internal documentation
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Source: job-boards.greenhouse.io · Source ID: 5024835008 · Confidence: 97/100 · Last checked: May 7, 2026
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