Research, Post-Training Evals
Develop reliable model evaluations for research signals, focusing on evaluation creation, usability, auditing, and efficiency in collaboration with researchers and engineers.
Develop reliable model evaluations for research signals, focusing on evaluation creation, usability, auditing, and efficiency in collaboration with researchers and engineers.
This role involves advancing audio capabilities through research and engineering, focusing on model training, data pipelines, and collaboration with cross-functional teams.
This role is responsible for advancing the agentic capabilities of AI models, overseeing the full development cycle with significant autonomy and responsibility.
Join a high-leverage team to enhance AI coding capabilities through research, design, and execution of RL training jobs and data generation.
This role focuses on scaling reinforcement learning for frontier models, requiring expertise in asynchronous RL algorithms and the integration of training and inference systems.