Tasks:
- * Build and optimize training and inference frameworks
- * Build photo and video enhancement models
- * Deliver camera features for mass production
- * Design and develop camera imaging algorithms
- * Design imaging multitask model architectures
- * Develop camera intelligent agents
- * Develop image and video foundation models
- * Develop imaging data platforms
- * Improve HDR, bokeh, capture, and stabilization
- * Optimize models for on-device deployment
- * Publish research and file patents
- * Research vision foundation models
- * Validate algorithm feasibility
Perks/Benefits:
Skills/Tech stack required:
[AI Agents] [Bokeh] [C#] [C++] [CMake] [Computer Vision] [Deep learning] [Flux] [Git] [HDR imaging] [Image denoising] [Image Processing] [Image Signal Processing] [Language Model Post Training] [Language Model Pretraining] [Language Models] [Large Language Model] [Large language model post-training] [Large language model pretraining] [Linux] [Model Distillation] [Model Optimization] [Model post-training] [Model pretraining] [Model Pruning] [Model Quantization] [Multimodal Models] [On-device model optimization] [Post-training] [Python] [PyTorch] [Reinforcement Learning] [RLHF] [Signal Processing] [Stable Diffusion] [Super-resolution] [TensorFlow] [Vision-language] [Vision Language Models]
Educational requirements:
[PhD]
Role(s):
[Algorithm Engineer] [Computer Vision Researcher] [Engineer] [Imaging Algorithm Engineer] [Machine Learning Researcher] [Researcher] [Vision Researcher]