Principal Computer Vision / Machine Learning Engineer
Tasks
- Apply mathematical physical modelling for motion reconstruction
- Build computer vision detection tracking and calibration systems
- Collaborate with backend frontend data platform teams
- Define data requirements and representative datasets
- Design 3D trajectory reconstruction algorithms
- Develop calibration systems and validate trajectories
- Ensure tracking output quality and reliability
- Influence technical architecture and algorithm design
- Optimize deploy algorithms on embedded edge hardware
- Own computer vision applied modelling layer
- Support real time performance on NVIDIA Jetson
- Transform 2D detections into 3D positional data
Perks/Benefits
- Annual leave
- Company discounts
- Employee assistance program
- Flexible working
- Hybrid work model
- Life and accident insurance
- Onsite gym
- Private medical insurance
- Sporting event tickets
- Wellness app
Skills/Tech-stack
3D Reconstruction | C plus plus | Camera Calibration | Computer Vision | Data pipeline | Detection | Edge Computing | Embedded Systems | Machine Learning | Motion Reconstruction | NVIDIA Jetson | Projectile Physics | Python | Tracking | Trajectory estimation
Education
N/A
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