Color Imaging AI Research Engineer
Tasks
- Assess and evaluate image quality
- Build synthetic data creation pipeline
- Collaborate with hardware imaging teams
- Design ISP pipeline algorithms
- Develop color processing algorithms
- Develop image video enhancement algorithms
- Identify model failure cases
- Optimize models for NPU compatible deployment
- Prototype research ideas
- Research and develop AI models for computational photography
- Train and fine-tune deep learning models
Perks/Benefits
- Collaborative research environment
- Culture and sports benefits
- Employee recognition awards
- International multicultural team environment
- Occupational healthcare
- Office breakfasts and snacks
- Team building events
Skills/Tech-stack
Camera Color Processing | Color processing | Computer Vision | Data Generation | Deep learning | Diffusion Models | Generative AI | ISP | Image Processing | Image Quality Assessment | Image quality | Image restoration | Language Models | Machine Learning | Model Optimization | Multimodal Learning | NPU Model Optimization | ONNX | PyTorch | Python | Quality Assessment | Spectral Imaging | Synthetic Data Generation | Synthetic data | TensorFlow | Transformer Models | Vision Language Models | Vision-language
Education
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