Responsibilities
- Construct infrastructure to support rapid experimentation with reward signals, including tools for creating evaluation rubrics and analyzing human feedback data
- Build automated systems to assess reward quality and detect anomalies such as reward hacking or unintended behaviors
- Develop software that enables side-by-side comparison of different reward modeling approaches and their impact
- Design end-to-end pipelines that streamline reward model development, from data collection to deployment
- Implement observability tools to monitor reward signal integrity during training processes
- Work closely with research teams to convert scientific objectives into scalable technical solutions
- Improve existing platforms for better speed, stability, and usability
- Help establish and document standardized practices for reward model development
Team
a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems
