Cartesia is a pioneering company focused on architecting AI that learns and interacts like humans. They are seeking a Researcher in Models to conduct groundbreaking research in neural network architecture design and collaborate with cross-functional teams to translate architectural research into impactful systems.
Responsibilities
- Conduct groundbreaking research in neural network architecture design to advance the state-of-the-art (SOTA) in alternative architectures (e.g., state space models, efficient Transformers, hybrid architectures)
- Design novel architectures that improve model quality, inference efficiency, and adaptability across diverse deployment environments, from cloud to on-device
- Explore and develop capabilities such as statefulness, long-range memory, and innovative conditioning mechanisms for enhancing model expressiveness and generalization
- Investigate how architectural decisions impact model trade-offs, including scalability, robustness, latency, and energy efficiency
- Develop new frameworks and tools to evaluate architectural innovations, benchmarking performance across research and production settings
- Collaborate with cross-functional teams to translate architectural research into scalable and impactful systems for real-world applications
