- New York
Develop post‑training methods for forecasting and reasoning, design and execute supervised fine‑tuning, reinforcement learning, on‑policy distillation, and related methods to improve accuracy and calibration.
Responsibilities
- Develop post‑training methods for forecasting and reasoning
- Design and execute supervised fine‑tuning, reinforcement learning, on‑policy distillation, and related methods to improve accuracy and calibration
- Build environments and task distributions
- Develop reward modeling and credit assignment methods
- Build efficient, reliable training systems
Requirements
- Bachelor’s degree or higher in a quantitative or technical discipline
