Tasks:
- * Build training and inference frameworks
- * Conduct technical research and feasibility validation
- * Define camera imaging solutions
- * Deliver production-ready camera features
- * Deploy models on camera devices
- * Design and develop imaging algorithms
- * Design multimodal imaging models
- * Develop camera intelligent agents
- * Optimize edge model deployment
- * Optimize image and video quality enhancement
- * Publish research and develop patents
- * Research visual foundation models
Perks/Benefits:
Skills/Tech stack required:
[AI Agents] [Bokeh] [C#] [C++] [Camera ISP] [CMake] [Computer Vision] [Deep learning] [Edge AI] [Flux] [Foundation Models] [Git] [HDR imaging] [Image and Video Enhancement] [Image denoising] [Image Processing] [Language Models] [Large model] [Large Model Pretraining] [Linux] [Model Distillation] [Model pretraining] [Model Pruning] [Model Quantization] [Multimodal Models] [Post-training] [Python] [PyTorch] [Reinforcement Learning] [RLHF] [Stable Diffusion] [Super-resolution] [TensorFlow] [Video enhancement] [Vision-language] [Vision Language Models] [Visual Foundation Models]
Educational requirements:
[PhD]
Role(s):
[Computer Vision Engineer] [Computer Vision Research Scientist] [Engineer] [Machine Learning Research Scientist] [Research Scientist] [Scientist] [Vision Engineer]