Tasks:
- * Build camera intelligent agents
- * Deliver flagship camera features
- * Deploy imaging models on-device
- * Design and optimize camera imaging algorithms
- * Develop image and video foundation models
- * Optimize training and inference infrastructure
- * Publish research and patents
- * Research vision foundation models
Perks/Benefits:
Skills/Tech stack required:
[AI Agents] [AI Deployment] [Bokeh] [C#] [C++] [CMake] [Computational Photography] [Computer Vision] [Deep learning] [Edge AI] [Edge AI deployment] [Flux] [Git] [HDR imaging] [Image denoising] [Image Processing] [Image Signal Processing] [Language Models] [Large Language Models] [Linux] [Model Distillation] [Model Pruning] [Model Quantization] [Multimodal Models] [Post-training] [Pre-training] [Python] [PyTorch] [Reinforcement Learning] [RLHF] [Signal Processing] [Stable Diffusion] [Super-resolution] [TensorFlow]
Educational requirements:
[PhD]
Role(s):
[Algorithm Engineer] [Computer Vision Engineer] [Deep Learning Engineer] [Engineer] [Imaging Algorithm Engineer] [Learning Engineer] [Machine Learning Engineer] [Vision Engineer]