Principal Applied Scientist - Robotics
Tasks
- Build object detection tracking and scene understanding
- Create dataset labeling and evaluation protocols
- Define robotics perception strategy
- Deploy models into robotic systems
- Design multimodal AI systems
- Develop multi sensor fusion models
- Establish repository code review documentation testing standards
- Implement real-time signal processing
- Integrate AI capabilities with robotics platforms
- Mentor scientists and engineers
- Monitor production metrics and feedback loops
- Optimize model training fine tuning and inference
- Perform root cause analysis for robotics issues
- Prototype robotics AI capabilities
- Train reinforcement learning and planning models
Perks/Benefits
- N/A
Skills/Tech-stack
Action Conditioned Planning | Artificial Intelligence | C++ | Computer Vision | Data labeling | Fine Tuning | Inference | Machine Learning | Model Training | Multi Sensor | Multi-sensor Fusion | Multimodal Learning | Object Detection | Operating System | Optimization | PyTorch | Python | ROS | Real Time | Real-time signal processing | Reinforcement Learning | Robot Operating | Robot Operating System | Scene Understanding | Sensor fusion | Signal Processing | Simulation | Synthetic data | Telemetry | Tracking
Education
Regions
Countries
States
Cities
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