Applied Scientist, Fauna Robotics
Core
Drive state-of-the-art techniques in robotics perception, manipulation, sim2real transfer, and reinforcement learning to bridge research and real-world deployment for home robots.
Role type
Senior Applied Scientist (Robotics)
Builds
Novel algorithms and deep learning architectures for dynamic real-world home environments
Domain
Robotics, Deep Learning, Reinforcement Learning
Deliverable
production ML models
Required skills
Robotics foundation models, Reinforcement learning, Deep learning architectures, Sim2real transfer, Multi-task learning, Neural deep learning methods, Patent/publication record, Java/C++/Python
Preferred skills
Deploying Deep Learning models on robots, Vision Language Action (VLA) models, Robot manipulation
Technologies
Java, C++, Python
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.
Seniority
Senior, hands-on IC with scientific leadership