自动驾驶生成实习生（Diffusion方向）
Tasks
- Apply diffusion and flow matching to 4D autolabel tasks
- Develop autonomous driving data generation systems
- Develop world model algorithms and data loops
- Implement diffusion and flow matching algorithms
- Implement gaussian splatting algorithms
- Improve labeling quality and reduce labeling cost
- Integrate with data labeling efficiency workflows
- Research and implement 3D gaussian splatting and NeRF
Perks/Benefits
- N/A
Skills/Tech-stack
3D Gaussian Splatting | 3D Reconstruction | C# | C++ | Deep learning | Diffusion Model | Fine Tuning | Flow matching | Gaussian Splatting | Linux | Machine Learning | Model Fine-tuning | Nerf | Neural Rendering | Parallel training | PyTorch | Python | Reinforcement Learning | TensorFlow | Text Inversion | Transformer | VAE | VLM | Video Generation | Video diffusion | World Model
Education
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