Machine Learning Engineer - Computer Vision and Perception
Tasks
- Build data pipelines
- Build high-performance inference engines
- Convert deep learning models to C based inference engines
- Develop and implement 3D object detection algorithms
- Develop and implement classification algorithms
- Develop and implement segmentation algorithms
- Develop and implement tracking algorithms
- Implement sensor fusion algorithms
- Process LiDAR point clouds
- Process camera images
- Profile and optimize real time processing
- Verify algorithms through simulation
Perks/Benefits
- Daily meal support
- Flexible work hours
- Hybrid work
- No dress code
- Paid sick leave
- Premium health check
- Snacks and premium coffee
Skills/Tech-stack
3D Vision | C++ | CMake | CNN | CUDA | CUDA acceleration | Computer Vision | Deep learning | Docker | Git | Kalman Filter | Lidar | Linux | Machine Learning | Parallel Computing | PointNet | PyTorch | Python | Real Time | Real-time Processing | Sensor fusion | TensorFlow | TensorRT | Time processing | Transformer
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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