AI Research Scientist
Core
Research and develop approaches for continual learning, fast adaptation, memory formation, knowledge retention, and transfer learning in large-scale AI systems.
Role type
Senior IC AI Research Scientist (physical world AI)
Builds
Archie, an AI engineer agent for the physical world
Domain
AI research applied to robotics and physical engineering
Deliverable
production ML models
Required skills
continual learning, meta-learning, online learning, reinforcement learning, memory architectures, test-time adaptation, knowledge consolidation, Python, PyTorch, JAX, distributed training
Preferred skills
experience with semi-synthetic training data, proprietary environments
Technologies
PyTorch, JAX, custom agentic harness
Responsibilities
Research and develop approaches for continual learning and transfer learning; Own the full development pipeline from data generation to product integration; Investigate topics such as memory systems and self-improvement; Contribute to both research strategy and technical implementation
Seniority
Senior, hands-on IC
