Applied Scientist, Fauna
Core
Research and build advanced semantic and world understanding algorithms enabling robots to observe, understand, and reason about complex home environments.
Role type
Applied Scientist (Robotics Spatial Intelligence)
Builds
Autonomous decision making, task planning, navigation, and manipulation systems for domestic robots
Domain
Robotics, 3D perception, World Modeling, Semantic Understanding
Deliverable
production ML models
Required skills
World Understanding and Modeling algorithms, simulation-based evaluation frameworks, sim-to-real transfer techniques, Python, C++, leading technical initiatives, publication record at major Robotics/ML/AI conferences
Preferred skills
first-author publications at major journals/conferences, bridging research with practical engineering implementation, experience with World Models or Foundation Models
Technologies
Python, C++
