Researcher: Model Architecture
Researcher: Model Architecture
Researcher: Model Architecture
Cartesia
Cartesia is a pioneering AI company focused on developing advanced model architectures for interactive intelligence. The role of Researcher: Model Architecture involves conducting innovative research in neural network design, particularly in state space models and efficient transformers, to enhance model performance across various deployment environments.
Qualification
- Deep expertise in architecture design with experience in advanced architectures like state space models and transformers.
- Strong understanding of system constraints for deployment in cloud and on-device environments.
- Proficiency in designing architectures that balance quality, efficiency, and adaptability.
- Familiarity with generative modeling paradigms and capabilities in deep learning models.
- Proven research track record in top-tier ML/AI venues or contributions to state-of-the-art architectures.
- Exceptional analytical and problem-solving skills with a focus on experimentation.
Responsibility
- Conduct groundbreaking research in neural network architecture design to advance state-of-the-art models.
- Design novel architectures that improve model quality, inference efficiency, and adaptability.
- Explore capabilities such as statefulness, long-range memory, and innovative conditioning mechanisms.
- Investigate the impact of architectural decisions on scalability, robustness, latency, and energy efficiency.
- Develop frameworks and tools to evaluate architectural innovations and benchmark performance.
- Collaborate with cross-functional teams to translate research into scalable systems.
