Tasks:
- * Build imaging data platforms and engineering infrastructure
- * Deliver production-ready algorithms for flagship devices
- * Deploy models for on-device camera features
- * Design and optimize smartphone camera algorithms
- * Design multimodal imaging models
- * Develop camera intelligent agents
- * Develop image and video enhancement models
- * Optimize models for efficient edge deployment
- * Optimize model training and inference frameworks
- * Publish research and develop patents
- * Research vision foundation models
Perks/Benefits:
Skills/Tech stack required:
[AI Agents] [Bokeh] [C#] [C++] [CMake] [Computer Vision] [Deep learning] [Device optimization] [Flux] [Foundation Models] [Git] [High Dynamic Range] [High Dynamic Range (HDR)] [Image denoising] [Image Processing] [Image Signal Processing] [Image signal processing (ISP)] [Language Models] [Large Language Models] [Linux] [Model Distillation] [Model pretraining] [Model Pruning] [Model Quantization] [Multimodal Models] [On-device optimization] [Post-training] [Python] [PyTorch] [Reinforcement Learning] [RLHF] [Stable Diffusion] [Super-resolution] [TensorFlow] [Vision foundation models]
Educational requirements:
[PhD]
Role(s):
[AI Research Scientist] [Algorithm Engineer] [Computer Vision Engineer] [Engineer] [Imaging Algorithm Engineer] [Learning Engineer] [Machine Learning Engineer] [Research Scientist] [Scientist] [Vision Engineer]