- Have a deep understanding of machine learning and machine learning applications.
- Have good judgment about model behavior and can communicate this judgment effectively.
- Enjoy taking ambitious, qualitative problems and turning them into concrete training interventions.
- Have a working knowledge of relevant models, and building evaluations for model capability improvement.
- Are comfortable diving into a large ML codebase to debug.
- Thrive in a dynamic, technically complex, and collaborative environment.