Real-Time Learning Research Scientist

Build models that adapt continuously through real-time learning, gradient-free exploration, and interface design in this research scientist role.

The role centers on developing intelligent systems that interact effectively with the world. You will investigate frontier research in real-time learning and efficiency while connecting interfaces, algorithms, and serving. Product impact guides evaluation, with research ideas tested through working systems rather than paper count alone.

Key Responsibilities:

• Research models that continuously evolve with the world
• Explore gradient-free approaches to intelligent system development
• Design interfaces through which models act
• Test research ideas through working products
• Measure improvements in what users can do

Requirements:

• PhD or equivalent computer science research experience
• Four to five or more years in industry
• Deep expertise in real-time alignment or related areas
• Research publications at leading machine learning conferences
• Experience with Python and PyTorch, JAX, or TensorFlow

Bring research depth, interface focus, and real-time learning expertise to systems designed for continuous adaptation and useful interaction.