Face Modeling and Animation Algorithm Researcher - London, United Kingdom - Tencent

    Tencent
    Tencent London, United Kingdom

    3 weeks ago

    Default job background
    Full time
    Description

    Work Mode:

    Onsite

    Responsibilities:

    Interactive Entertainment Group (IEG) is responsible for the R&D, operation, and development of the company's interactive entertainment business including games and eSports. Through online gaming, live broadcasts, and offline eSports, IEG assists the company in leading the global interactive entertainment market to create better interactive entertainment content experiences for users.

    Job Responsibilities:

    ●Responsible for the development, optimization, and implementation of face-related algorithms, such as face reconstruction, expression tracking, audio-driven lipsync.

    ●Analyze and resolve key technical issues in the process of algorithm development and implementation, continuously improving algorithm performance and user experience.

    ●Collaborate with the art/design/engine teams to create high-quality facial models or animation assets, and integrate them into the game production pipeline.

    ●Keep abreast of the latest face-related products, technologies, and academic research, and apply them to team projects.

    Requirements:

    Qualifications:

    ●PhD degree in Computer Vision, Computer Graphics, Mathmatics, Digital Arts, Animation, or a related field.

    ●Possesses extensive experience in the development of face-related algorithms.

    ●Have published papers at top computer vision and graphics conferences and journals, such as CVPR, ICCV, ECCV, SIGGRAPH, SIGGRAPH Asia, NIPS, ICML, PAMI, IJCV, TOG, TVCG, etc.

    ●Rich practical experience with deep learning frameworks, such as TensorFlow and PyTorch

    ●Excellent communication skills and the ability to collaborate effectively within a team.

    Preferred:

    ●Proficiency in 3D modeling software (, Maya, Blender, 3DS Max) and game engines (, Unity, Unreal Engine).

    ●Proficient in low-level acceleration technologies such as CUDA.

    ●Rich experience in face-related product projects, with successful cases of industrializing research achievements.

    ●Have published influential papers, products, or open-source projects within the industry.

    #LI-RL1