{
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    "job": {
        "job_title": "World Model Research Intern 107779",
        "job_level": "实习",AI生成
        "work_category": "实习",AI生成
        "department": "IEG",
        "location": "新加坡",
        "work_mode": "未披露",AI生成
        "job_category": "技术"AI生成
    },
    "company": {
        "company_name": "腾讯",
        "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。"
    },
    "compensation": {
        "salary_range": {
            "min": "",
            "max": "",
            "currency": "未披露",
            "cycle": "未披露"
        },
        "benefits": "未披露"
    },
    "requirements": {
        "working_years": "",
        "degree": "未披露",
        "language": "未披露",AI生成
        "visa_support": "未披露",
        "responsibilities": "About the Hiring Team\nLevel Infinite is Tencent’s global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world.\nWe are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games.\n\nWhat the Role Entails\nFocus on cutting-edge algorithm research and development for World Models and Video Diffusion Models, exploring key issues such as video generation and video interaction. As a Generative AI Researcher (Intern), you will participate in one or more of the following tasks:\nData Processing: Assist with the cleaning, filtering, annotation, and preprocessing pipelines for large-scale video/image data to build high-quality training datasets.\nModel Training: Help build highly efficient training frameworks for diffusion models, optimize training workflows, and take responsibility for managing, monitoring, and fine-tuning model training tasks.\nTechnical Innovation: Deeply participate in technical project discussions, proactively propose innovative ideas or improvement plans, and actively drive the practical application and integration of research findings into game video generation and virtual world construction scenarios.\nFrontier Exploration: Collaborate closely with senior researchers to explore cutting-edge directions in the fields of digital content generation and interactive agents.\n\nWho We Look For\nEnrolled as a PhD or Master’s student in Computer Vision, Computer Graphics, Machine Learning, or a related field, familiarity with generative models.\nStrong background in deep learning with practical experience in image or video data processing. Capable of independently handling complex data cleaning tasks and constructing robust data pipelines.\nStrong interest in applying generative AI to interactive entertainment and virtual world building.\nGood communication and collaboration skills.\nModel Expertise: Familiarity with mainstream video generation models; hands-on experience in training or fine-tuning these models is highly preferred.\nAcademic Record: Experience publishing relevant research in top-tier AI and computer vision conferences or journals (e.g., CVPR, ICCV, ECCV, ICLR, ICML, NeurIPS) is a strong plus.\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: Singapore-CapitaSky",
        "requirements_text": "岗位要求详情请见上方岗位职责内说明",
        "skills": [AI生成
            "机器学习",
            "深度学习",
            "计算机视觉",
            "团队协作"
        ],
        "preferred_qualifications": "未披露",
        "job_highlights": "未披露"
    },
    "contact": {
        "recruiter_name": "未披露",
        "contact_methods": [
            {
                "type": "apply_link",
                "value": "https://tencent.wd1.myworkdayjobs.com/Tencent_Careers/job/Singapore-CapitaSky/World-Model-Research-Intern_R107779"
            }
        ]
    },
    "posting": {
        "posting_id": "2078016946175131648",
        "post_date": "2026-07-16",
        "hire_time": "未披露",
        "update_date": "20260917",
        "job_url": "https://tencent.wd1.myworkdayjobs.com/Tencent_Careers/job/Singapore-CapitaSky/World-Model-Research-Intern_R107779"
    },
    "fulltext": "World Model Research Intern 107779\nAbout the Hiring Team\nLevel Infinite is Tencent’s global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world.\nWe are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games.\n\nWhat the Role Entails\nFocus on cutting-edge algorithm research and development for World Models and Video Diffusion Models, exploring key issues such as video generation and video interaction. As a Generative AI Researcher (Intern), you will participate in one or more of the following tasks:\nData Processing: Assist with the cleaning, filtering, annotation, and preprocessing pipelines for large-scale video/image data to build high-quality training datasets.\nModel Training: Help build highly efficient training frameworks for diffusion models, optimize training workflows, and take responsibility for managing, monitoring, and fine-tuning model training tasks.\nTechnical Innovation: Deeply participate in technical project discussions, proactively propose innovative ideas or improvement plans, and actively drive the practical application and integration of research findings into game video generation and virtual world construction scenarios.\nFrontier Exploration: Collaborate closely with senior researchers to explore cutting-edge directions in the fields of digital content generation and interactive agents.\n\nWho We Look For\nEnrolled as a PhD or Master’s student in Computer Vision, Computer Graphics, Machine Learning, or a related field, familiarity with generative models.\nStrong background in deep learning with practical experience in image or video data processing. Capable of independently handling complex data cleaning tasks and constructing robust data pipelines.\nStrong interest in applying generative AI to interactive entertainment and virtual world building.\nGood communication and collaboration skills.\nModel Expertise: Familiarity with mainstream video generation models; hands-on experience in training or fine-tuning these models is highly preferred.\nAcademic Record: Experience publishing relevant research in top-tier AI and computer vision conferences or journals (e.g., CVPR, ICCV, ECCV, ICLR, ICML, NeurIPS) is a strong plus.\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: Singapore-CapitaSky\n岗位要求详情请见上方岗位职责内说明",
    "standard_classification": {
        "std_category_code": "T010",
        "std_aux_codes": [],
        "std_category_status": null,
        "std_taxonomy_version": "20261104"
    }
}