Develop reliable model evaluations for research signals, focusing on evaluation creation, usability, auditing, and efficiency in collaboration with researchers and engineers.
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.
Join the Life Sciences team as a Research Scientist to enhance AI capabilities in biological research, focusing on model training, evaluation, and real-world applications.
