Tasks:
- * Build and iterate image and video foundation models
- * Build and optimize training and inference frameworks
- * Conduct imaging technology research
- * Deliver imaging features for flagship devices
- * Design and develop camera imaging algorithms
- * Design and develop imaging multi-task models
- * Develop camera intelligent agents using VLMs
- * Develop photo and video quality enhancement models
- * Improve data platforms and engineering infrastructure
- * Improve HDR, bokeh, capture, and stabilization capabilities
- * Optimize models for on-device deployment
- * Publish research and develop patents
- * Research visual foundation models
- * Validate algorithm feasibility
Perks/Benefits:
Skills/Tech stack required:
[AI Agents] [Bokeh] [C#] [C++] [CMake] [Computational Photography] [Computer Vision] [Deep learning] [Device optimization] [Flux] [Foundation Models] [Git] [HDR imaging] [Image denoising] [Image Processing] [Image Signal Processing] [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] [Signal Processing] [Stable Diffusion] [Super-resolution] [TensorFlow] [Visual Foundation Models]
Educational requirements:
[PhD]
Role(s):
[AI Research Scientist] [Computer Vision Engineer] [Deep Learning Engineer] [Engineer] [Learning Engineer] [Research Scientist] [Scientist] [Vision Engineer]