视频理解与画质算法工程师-音视频技术
Core
Research and implement algorithms for video understanding and quality analysis, including content understanding, temporal modeling, ROI/SOD, event localization, and quality assessment to support streaming, live, recommendation, and transcoding scenarios.
Role type
Senior IC machine-learning engineer (video understanding & quality)
Builds
Production video analysis models, quality evaluation systems, and transcoding enhancement features
Domain
Video streaming, live broadcasting, and content recommendation
Deliverable
production ML models
Required skills
Machine learning, computer vision, image/video processing, deep learning frameworks (PyTorch/TensorFlow), Transformer architectures, multimodal large models, C/C++, Python, Linux development, OpenCV, FFmpeg
Preferred skills
Few-Shot/Grounding quality assessment, user preference modeling, pixel-level quality detection, generative quality enhancement, publications in top-tier CV/ML conferences
Responsibilities
Design end-to-end video experience optimization strategies, build datasets and optimize algorithms, conduct online monitoring and A/B testing, collaborate with product and engineering teams to validate business impact
Seniority
Senior, hands-on IC