Senior Research Scientist, Reward Models

Tech Stack

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.
• 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.

Benefits

• Equity
• Learning Budget
• Parental Leave

Culture

Requirements