Senior Applied Scientist
Tasks
- Collaborate with perception navigation planning and controls teams
- Design track management systems including initialization association and occlusion handling
- Develop and deploy sensor fusion pipelines
- Develop and validate real time tracking systems
- Develop learning based tracking methods
- Establish benchmarks evaluation frameworks and safety validation protocols
- Integrate camera depth radar IMU and other modalities using estimation frameworks
- Lead research design and development of multi object tracking systems
- Mentor scientists and engineers
- Publish research findings and contribute to patents
- Train machine learning models for deployment in simulation and real robots
Perks/Benefits
- N/A
Skills/Tech-stack
Bayesian estimation | Computer Vision | Data Association | Deep learning | Extended Kalman | Extended Kalman Filter | Factor Graphs | Kalman Filter | Kalman filtering | Multi-object Tracking | Neural Data | Neural Data Association | Neural Networks | Object Tracking | Particle Filter | Real Time | Real-time Systems | Reinforcement Learning | Sensor fusion | State Estimation | Time Systems | Track Reidentification | Transformer | Unscented Kalman | Unscented Kalman Filter
Education
Regions
Countries
States
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