Video Image AI ML Software
Core
Research and develop video analysis algorithms for region-of-interest detection, content understanding, and perceptual quality assessment, building datasets and evaluation pipelines for multimedia quality.
Role type
Research ML Engineer (Video Quality & Analysis)
Builds
End-to-end video quality optimization solutions, analysis, enhancement, processing, and encoding pipelines for VOD and live-streaming.
Domain
Multimedia, Video Streaming, Computer Vision, Machine Learning
Deliverable
production ML models | research
Required skills
C/C++, Python, image/video analysis, objective quality metrics (VMAF, PSNR, SSIM), machine learning, deep learning, PyTorch, TensorFlow, experiment design, data analysis
Preferred skills
Transformer architectures, multimodal large models, vision-language/video-language modeling, video enhancement, codecs, learned compression, embedded systems, ARM/RISC-V processors, RTOS environments
Responsibilities
Research video analysis algorithms for region-of-interest detection and content understanding; Design and implement objective and learning-based image/video quality evaluation methods; Build datasets, benchmarks, and evaluation pipelines for multimedia quality; Prototype, train, and optimize machine learning and deep learning models for multimedia tasks; Collaborate with infrastructure and engineering teams to integrate research prototypes into production workflows; Conduct offline experiments, online validation, and A/B testing analysis
Seniority
PhD Candidate / Researcher