Team Intro: The Vision-Applied Research team focuses on applied research in Generative AI and CV/Multimodal Understanding, and delivering intelligent solutions to ByteDance products, enabling users to make and share creative content in a much easier way. The team has research groups dedicated to generative models for content creation, image generation, video synthesis, intelligent image/video editing, and virtual humans.
Responsibilities: • Conduct cutting-edge research and development in computer vision, generative AI and other related fields; • Transfer advanced technologies to Bytedance products; • Explore new products with artificial intelligence technology at its core.
Requirements
Minimum Qualifications: • 2+ years of research and practical experience in one or more areas of computer vision:
- Generative models, diffusion models, GAN
- Image and video synthesis/manipulation/editing, Image and video understanding
- Multi-modality, vision and language
- Generative human, neural motion synthesis, Human modeling (2D and 3D pose estimation, hand pose estimation, human shape estimation)
- Facial analysis • Highly competent in algorithms and programming; Strong coding skills in C/C++ and Python.
Preferred Qualifications: • Candidates with publications in venues such as CVPR, ICCV, ECCP, SIGGRAPH, & NeurIPS.