Senior Applied Scientist
Tasks
- Build end to end perception systems from sensor processing to deployment
- Collaborate with hardware navigation planning controls teams
- Create novel radar thermal representations and feature extraction methods
- Design multi modal fusion architectures for radar thermal camera depth
- Develop deep learning models for object detection classification segmentation tracking
- Document post deployment limitations
- Establish benchmarks datasets evaluation frameworks
- Lead research for ML perception pipelines
- Mentor scientists and engineers
- Publish research and contribute to patents
- Train ML models for simulation and real world deployment
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Cloud processing | Computer Vision | Data Fusion | Deep learning | Image Segmentation | Infrared Imaging | Java | Machine Learning | Model Evaluation | Model Training | Object Detection | Object Tracking | Point Cloud | Point Cloud Processing | Point clouds | Python | Radar | Radar Point Clouds | Real Time | Real-time deployment | Signal Processing | Tensor processing | Thermal imaging
Education
Regions
Countries
States
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