As a Senior Research Scientist on our Reward Models team, you'll lead research efforts to improve how we specify and learn human preferences at scale. Your work will directly shape how our models understand and optimize for what humans actually want — enabling Claude to be more useful, more reliable, and better aligned with human values.
Requirements
- 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
- Mentor other researchers and help build institutional knowledge around reward modeling
Benefits
- Competitive compensation
- Benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours