【27届校招】端到端Occ算法工程师
Tasks
- Apply transformer based architectures
- Build 3D object detection systems
- Build differentiable rendering and self supervised representation learning
- Develop diffusion model training workflows
- Develop end to end autonomous driving models
- Develop occupancy network models
- Implement BEV perception pipelines
- Implement autoregressive generation models
- Integrate multi sensor fusion
- Train semantic segmentation models
Perks/Benefits
- N/A
Skills/Tech-stack
3D Gaussian | 3D Gaussian Splatting | 3D Geometry | 3D Object Detection | 3D Scene | 3D Scene Understanding | 3D geometry processing | Autoregressive models | BEV perception | C++ | CVPR | Camera processing | Computer Vision | Deep learning | Diffusion Models | ECCV | Gaussian Splatting | Geometry Processing | ICCV | Lidar Processing | Multi Sensor | Multi-sensor Fusion | Nerf | NeurIPS | Object Detection | Occupancy networks | PyTorch | Python | Scene Understanding | Semantic Segmentation | Sensor fusion | Transformers
Education
Regions
Countries
States
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