Research Engineer - State Estimation and Visual Odometry (ML+classic)
Zürich, Zurich, Switzerland
CHF 106K-150K (estimate) Mid-level Full Time
Tasks
- Build sensor fusion systems
- Deploy real time odometry systems on robotic hardware
- Develop state estimation solutions
- Implement visual inertial odometry
- Optimize filtering based state estimation
- Train deep neural networks for motion estimation
Perks/Benefits
Skills/Tech-stack
Autoregressive models | C++ | Computer Vision | Diffusion Models | Inertial odometry | Kalman Filter | Motion estimation | Optimization | PyTorch | Python | Real Time | Real-time Systems | Sensor fusion | Sequence Learning | Sequence to sequence | Sequence-to-sequence learning | State Estimation | Time Systems | Visual Inertial | Visual Odometry | Visual-inertial odometry
Education
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