Senior Applied Scientist, Fauna Robotics
Core
Designing novel algorithms and deep learning architectures for robotics, focusing on perception, manipulation, sim2real transfer, and reinforcement learning to deploy robots in home environments.
Role type
Senior Applied Scientist (Robotics)
Builds
Robotic systems for everyday home life
Domain
Robotics, Deep Learning, Reinforcement Learning
Deliverable
production ML models
Required skills
Neural deep learning methods, Machine learning, Python, C++, Robotics foundation models, Reinforcement learning, Sim2real transfer, Robot manipulation, Deep learning architecture design, Technical leadership
Preferred skills
Deploying Deep Learning models on robots, Vision Language Action (VLA) models
Technologies
Python, C++, Simulation environments
Responsibilities
Lead technical initiatives in robotics foundation models and manipulation; Design and implement novel deep learning architectures; Mentor fellow scientists while maintaining hands-on technical contributions; Collaborate with engineering teams to optimize and scale models for real-world applications; Drive technical discussions to develop innovative solutions for identified model limitations.
Seniority
Senior, hands-on IC with scientific leadership