Robot Perception/ML Engineer (w/m/d) Autonomous Mobile Robots
Tasks
- Classify obstacles
- Close sim2real gap with synthetic data
- Collaborate with control teams
- Collaborate with fleet management teams
- Collaborate with navigation teams
- Define benchmarks and metrics
- Develop perception models
- Improve object detection
- Integrate perception into ROS stack
- Perform free space detection
- Run simulation based evaluation
- Scale automated labeling
- Track model performance and iterate improvements
- Use fleet data
- Validate perception on real vehicles
Perks/Benefits
Skills/Tech-stack
Active Learning | Auto-labeling | C++ | Computer Vision | Deep learning | Domain Adaptation | Linux | Machine Learning | Neural Networks | Object Detection | Obstacle Classification | PyTorch | Python | ROS | Semantic Segmentation | Simulation | Synthetic data
Education
N/A
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