Senior Applied Scientist, Fauna Robotics
Tasks
- Collaborate with engineering teams to optimize and scale models
- Communicate complex technical work to non technical audiences
- Design and implement deep learning architectures
- Design experiments for model limitations and improvements
- Drive technical discussions with stakeholders
- Identify and document post deployment limitations
- Influence technical decisions and implementation strategies
- Lead robotics technical initiatives
- Mentor scientists
- Train machine learning models for simulation and real world deployment
- Train reinforcement learning policies for robot manipulation
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Deep learning | Multi-task Learning | Neural Networks | Perception | Python | Reinforcement Learning | Robot Manipulation | Robotics | Sim2real | Vision-language | Vision-language-action
Education
Roles
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