AI Systems, Language & Reasoning Models

Unconventional AI is a pioneering company focused on redefining computing for AI by addressing the energy limitations of traditional systems. The role of Member of Technical Staff, Language & Reasoning Models involves developing foundational language and reasoning models that leverage novel silicon dynamics, collaborating closely with hardware designers to achieve high efficiency and performance.

Responsibilities:

• Model Development: Design, train, and scale next-generation language and reasoning architectures (such as transformers, state space models, diffusion/flow models, and deep equilibrium models) specifically tailored for unconventional compute
• Physics-Informed Architecture: Rethink standard sequence modeling to exploit the continuous-time dynamics of silicon, moving away from layers of inefficient digital abstraction
• Evaluation & Scaling: Establish the training recipes, loss functions, and evaluation metrics needed to reach the frontier of language comprehension, logical reasoning, and generation speed while maintaining the massive energy efficiency of our platform
• Extreme Codesign: Collaborate with hardware designers and theorists, and system builders to co-design the model architecture alongside the underlying physical compute primitives