腾讯(tencent)招聘World Model Research Intern 107779
招聘职位：
World Model Research Intern 107779 搜索同类职位
岗位职责：
About the Hiring Team
Level 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.
We 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.
What the Role Entails
Focus 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:
Data Processing: Assist with the cleaning, filtering, annotation, and preprocessing pipelines for large-scale video/image data to build high-quality training datasets.
Model 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.
Technical 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.
Frontier Exploration: Collaborate closely with senior researchers to explore cutting-edge directions in the fields of digital content generation and interactive agents.
Who We Look For
Enrolled as a PhD or Master’s student in Computer Vision, Computer Graphics, Machine Learning, or a related field, familiarity with generative models.
Strong 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.
Strong interest in applying generative AI to interactive entertainment and virtual world building.
Good communication and collaboration skills.
Model Expertise: Familiarity with mainstream video generation models; hands-on experience in training or fine-tuning these models is highly preferred.
Academic 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.
Equal Employment Opportunity at Tencent
As 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.
Work Location: Singapore-CapitaSky
岗位要求：
岗位要求详情请见上方岗位职责内说明
About the Hiring Team
Level 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.
We 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.
What the Role Entails
Focus 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:
Data Processing: Assist with the cleaning, filtering, annotation, and preprocessing pipelines for large-scale video/image data to build high-quality training datasets.
Model 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.
Technical 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.
Frontier Exploration: Collaborate closely with senior researchers to explore cutting-edge directions in the fields of digital content generation and interactive agents.
Who We Look For
Enrolled as a PhD or Master’s student in Computer Vision, Computer Graphics, Machine Learning, or a related field, familiarity with generative models.
Strong 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.
Strong interest in applying generative AI to interactive entertainment and virtual world building.
Good communication and collaboration skills.
Model Expertise: Familiarity with mainstream video generation models; hands-on experience in training or fine-tuning these models is highly preferred.
Academic 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.
Equal Employment Opportunity at Tencent
As 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.
Work Location: Singapore-CapitaSky
岗位要求：
岗位要求详情请见上方岗位职责内说明
免责声明：
此信息由腾讯官网 (查看来源)审核并发布，我们转载该信息，仅出于传递更多就业招聘资讯、促进大学生及广大求职者就业之目的。该招聘职位信息的真实性、准确性、时效性及合法性均由原始发布方“腾讯官网”负责。我们作为信息转载平台，不构成求职建议，不涉及任何职业中介服务，不对其内容承担任何形式的保证责任。请用户在使用转载信息时保持审慎，自行判断并承担相应风险，求职请认准企业官方渠道！