✨ About The Role
- The role involves conducting research and engineering work to enhance model capabilities and performance.
- Responsibilities include developing evaluations and datasets to assess model performance on critical tasks.
- The candidate will collaborate closely with product teams to identify and develop new agentic capabilities.
- The position requires designing, implementing, testing, and debugging code across the research stack.
- The role emphasizes owning and pursuing a research agenda to improve model intelligence and performance.
âš¡ Requirements
- The ideal candidate will have strong machine learning engineering skills and relevant research experience.
- A self-starter who takes initiative and ownership of their ideas is essential for success in this role.
- Candidates should have a deep understanding of machine learning and its applications.
- A passion for product-focused research projects and a commitment to user engagement is crucial.
- Comfort with navigating and improving a large machine learning codebase is necessary.
- The ability to thrive in a fast-paced, dynamic environment is important for this position.