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 practical interaction.

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📌 Real-Time Learning Research Scientist (Toronto)
🏢 Adaption
📍 Toronto