职位详情

职位列表 链接有效 不适用(官网全量采集) official:tencent:2079542264975245312

Controllable Video Generation Researcher 107820

未披露 · 伦敦 · 腾讯

主分类:大模型与生成式算法研发
算法与数据
来源 JD 数据(旧分类保留,当前主分类见上方)
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        "department": "IEG",
        "location": "伦敦",
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    "company": {
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        "company_industry": "互联网 / 科技 / 人工智能",
        "company_size": "10000人以上",
        "company_website": "tencent.com",
        "company_description": "腾讯是一家互联网和科技公司,业务覆盖通信与社交、数字内容、游戏、金融科技、企业服务、云计算与人工智能等方向。"
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        "responsibilities": "Business Unit\nLIGHTSPEED STUDIOS is made up of passionate players who advance the art & science of game development through great stories, great gameplay, and advanced technology. We are focused on bringing next generation experiences to gamers who want to enjoy them anywhere, anytime, across multiple genres and devices.\n\nAbout the Hiring Team\nLightspeed Tech Center is a R&D department under Lightspeed Studios which develop PUBG Mobile and other high-quality games. Our Tech Center leads the research, exploration, and discovery of innovative technologies and provides technical services for all games during all phases of life cycle, including engine, audio, QA, AI, next generation game, technical cooperation, etc.\n\nWhat the Role Entails\n1. Design a multimodal controllable generation framework supporting various inputs such as keyboard, controller, trajectory, and voice.\n2. Research high-fidelity generation under sparse control signals and explore the extension of conditional control paradigms in the video domain.\n3. Achieve the decoupling and combination of trajectory control, camera control, motion control, and posture control.\n4. Design dedicated control modules tailored to different game genres.\n5. Develop video generation capabilities for multi-player collaborative control, ensuring low-latency response and inter-frame state retention.\n6. Collaborate with the Engine/Agent teams to define standardized interfaces for controllable signals.\n7. Drive the joint optimization of controllable generation and Reinforcement Learning post-training.\n\nWho We Look For\n1. Ph.D. in AI-related fields, focusing on Computer Vision/Deep Learning.\n2. Proficient in conditional generation models and multi-player/multi-channel control technologies; familiar with the principles of diffusion models.\n3. Project experience in camera control, trajectory control, or posture control.\n4. Understanding of game engine input/output logic and frame synchronization mechanisms.\n5. Proficient in Python/PyTorch, with publications in controllable video generation or conditional generation.\n6. Experience in Game AI or game development is preferred.\n7. Experience in real-time/interactive video generation projects is preferred.\n\nEqual Employment Opportunity at Tencent\nAs an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.\r\nWork Location: United Kingdom-London",
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    "fulltext": "Controllable Video Generation Researcher 107820\nBusiness Unit\nLIGHTSPEED STUDIOS is made up of passionate players who advance the art & science of game development through great stories, great gameplay, and advanced technology. We are focused on bringing next generation experiences to gamers who want to enjoy them anywhere, anytime, across multiple genres and devices.\n\nAbout the Hiring Team\nLightspeed Tech Center is a R&D department under Lightspeed Studios which develop PUBG Mobile and other high-quality games. Our Tech Center leads the research, exploration, and discovery of innovative technologies and provides technical services for all games during all phases of life cycle, including engine, audio, QA, AI, next generation game, technical cooperation, etc.\n\nWhat the Role Entails\n1. Design a multimodal controllable generation framework supporting various inputs such as keyboard, controller, trajectory, and voice.\n2. Research high-fidelity generation under sparse control signals and explore the extension of conditional control paradigms in the video domain.\n3. Achieve the decoupling and combination of trajectory control, camera control, motion control, and posture control.\n4. Design dedicated control modules tailored to different game genres.\n5. Develop video generation capabilities for multi-player collaborative control, ensuring low-latency response and inter-frame state retention.\n6. Collaborate with the Engine/Agent teams to define standardized interfaces for controllable signals.\n7. Drive the joint optimization of controllable generation and Reinforcement Learning post-training.\n\nWho We Look For\n1. Ph.D. in AI-related fields, focusing on Computer Vision/Deep Learning.\n2. Proficient in conditional generation models and multi-player/multi-channel control technologies; familiar with the principles of diffusion models.\n3. Project experience in camera control, trajectory control, or posture control.\n4. Understanding of game engine input/output logic and frame synchronization mechanisms.\n5. Proficient in Python/PyTorch, with publications in controllable video generation or conditional generation.\n6. Experience in Game AI or game development is preferred.\n7. Experience in real-time/interactive video generation projects is preferred.\n\nEqual Employment Opportunity at Tencent\nAs an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.\r\nWork Location: United Kingdom-London\n岗位要求详情请见上方岗位职责内说明",
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