🚀 Computer Vision Engineer
Tasks
- Develop production ready real time algorithms for target hardware
- Implement and improve ML DL algorithms for small object detection and tracking
- Integrate DL models with inference decision logic
- Mentor middle engineers
- Perform architectural design and code reviews
- Process frame sequences for filtering and validation
- Prototype and experiment with novel solutions
- Research CV ML DL publications and evaluate SOTA approaches
Perks/Benefits
- Coffee and snacks
- Conference support
- Corporate library access
- Extra day off for birthday
- Flexible working hours
- Health insurance
- Paid training
- Psychologist consultations
- Relocation support
- Remote work up to 10 days per year
- Vacation 24 days per year
Skills/Tech-stack
C++ | Computer Vision | Data Association | Deep learning | Ego motion estimation | Epipolar geometry | Frame Registration | Homography Estimation | Hungarian Algorithm | Image Segmentation | Image Warping | JPDA | Kalman Filter | Knowledge Distillation | Low-rank decomposition | Machine Learning | Memory Management | Motion estimation | Multithreading | NCNN | Object Detection | Object Tracking | OpenCV | OpenVINO | Optical Flow | Particle Filtering | Pruning | PyTorch | Python | Quantization | RANSAC | Real Time | Real-time Systems | Tensor decomposition | Time Systems | Ultralytics
Education
N/A
Roles
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