腾讯(tencent)招聘AI Agent Research & Application Intern 106432
招聘职位：
AI Agent Research & Application Intern 106432 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
This role focuses on advancing AI Agent architecture, reasoning, and autonomy through applied research and experimentation. Interns will work on cutting-edge projects involving foundation models, planning algorithms, and multi-agent systems, contributing to both theoretical innovation and practical applications.
Key Responsibilities
• Conduct research on AI foundation models to enhance reasoning and data-driven analytical capabilities.
• Design and develop advanced planning and decision-making algorithms that enable Agents to autonomously perform complex tasks and improve operational efficiency.
• Investigate tool-use mechanisms to allow Agents to effectively integrate and utilize diverse data analysis and system tools for greater adaptability in real-world environments.
• Explore and implement end-to-end reinforcement learning frameworks and multi-agent collaboration algorithms to improve coordination and optimization across intelligent systems.
Who We Look For
Qualifications
• Master’s or PhD student in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a related field.
• Strong foundation in mathematics (linear algebra, probability, statistics) and excellent problem-solving skills.
• Solid understanding of machine learning and deep learning algorithms (e.g., neural networks, decision trees, SVMs, reinforcement learning), with hands-on implementation experience.
• Proficiency in Python and familiarity with mainstream ML/DL frameworks such as TensorFlow and PyTorch, with the ability to independently develop and train models.
Preferred Qualities:
• Deep curiosity and passion for autonomous systems, reasoning, and multi-agent collaboration.
• Ability to bridge theoretical research and practical application.
• Experience with reinforcement learning, tool-augmented LLMs, or agentic workflows is a strong plus.
• Proficiency in both English and Mandarin will be a plus.
• Minimum 6-month full-time internship preferred.
#LI-RL1
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: UK-London
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
This role focuses on advancing AI Agent architecture, reasoning, and autonomy through applied research and experimentation. Interns will work on cutting-edge projects involving foundation models, planning algorithms, and multi-agent systems, contributing to both theoretical innovation and practical applications.
Key Responsibilities
• Conduct research on AI foundation models to enhance reasoning and data-driven analytical capabilities.
• Design and develop advanced planning and decision-making algorithms that enable Agents to autonomously perform complex tasks and improve operational efficiency.
• Investigate tool-use mechanisms to allow Agents to effectively integrate and utilize diverse data analysis and system tools for greater adaptability in real-world environments.
• Explore and implement end-to-end reinforcement learning frameworks and multi-agent collaboration algorithms to improve coordination and optimization across intelligent systems.
Who We Look For
Qualifications
• Master’s or PhD student in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a related field.
• Strong foundation in mathematics (linear algebra, probability, statistics) and excellent problem-solving skills.
• Solid understanding of machine learning and deep learning algorithms (e.g., neural networks, decision trees, SVMs, reinforcement learning), with hands-on implementation experience.
• Proficiency in Python and familiarity with mainstream ML/DL frameworks such as TensorFlow and PyTorch, with the ability to independently develop and train models.
Preferred Qualities:
• Deep curiosity and passion for autonomous systems, reasoning, and multi-agent collaboration.
• Ability to bridge theoretical research and practical application.
• Experience with reinforcement learning, tool-augmented LLMs, or agentic workflows is a strong plus.
• Proficiency in both English and Mandarin will be a plus.
• Minimum 6-month full-time internship preferred.
#LI-RL1
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: UK-London
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！