Researcher, Models
Core
Conduct groundbreaking research in neural network architecture design to advance the state-of-the-art in alternative architectures (e.g., state space models, efficient transformers, hybrid architectures).
Role type
Researcher, Models (Neural Network Architecture)
Builds
Novel model architectures for cloud and on-device deployment
Domain
Artificial Intelligence / Machine Learning / Neural Network Architecture
Deliverable
production ML models
Required skills
Neural network architecture design, State space models, Efficient transformers, Hybrid architectures, Generative modeling (autoregressive, diffusion), Deep learning frameworks (PyTorch, TensorFlow), Model profiling, Experimental design, Analytical problem-solving
Preferred skills
State space models research, Multi-modal system design, Early-stage startup experience
Technologies
PyTorch, TensorFlow
Responsibilities
Design novel architectures improving model quality and inference efficiency, Explore capabilities like statefulness and long-range memory, Investigate architectural trade-offs (scalability, robustness, latency), Develop frameworks to evaluate architectural innovations, Collaborate to translate research into scalable systems
Seniority
Individual Contributor, Research-focused