AI Agent Research & Application Intern 106432
Tencent
AI Agent Research & Application Intern 106432
Job Description
AI Agent Research & Application Intern 106432
š Job Overview
This internship role at Level Infinite, Tencent's global gaming brand, 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 in gaming and beyond. The position is based in London, UK, and supports Tencent's commitment to diverse and inclusive innovation.
š Location: London, United Kingdom
š¢ Business Unit: IEG
š Full Description
About the Hiring Team
Level Infinite is Tencentās 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
ā¢ Conduct research on AI foundation models to enhance reasoning and data-driven analytical capabilities.
ā¢ Design and develop advanced planning and decision-making algorithms that enable Agents to autonomously perform complex tasks and improve operational efficiency.
ā¢ 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.
ā¢ 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
ā¢ Masterās or PhD student in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a related field.
ā¢ Strong foundation in mathematics (linear algebra, probability, statistics) and excellent problem-solving skills.
ā¢ Solid understanding of machine learning and deep learning algorithms (e.g., neural networks, decision trees, SVMs, reinforcement learning), with hands-on implementation experience.
ā¢ 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:
ā¢ Deep curiosity and passion for autonomous systems, reasoning, and multi-agent collaboration.
ā¢ Ability to bridge theoretical research and practical application.
ā¢ Experience with reinforcement learning, tool-augmented LLMs, or agentic workflows is a strong plus.
ā¢ Proficiency in both English and Mandarin will be a plus.
ā¢ 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
Level Infinite is Tencentās 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
ā¢ Conduct research on AI foundation models to enhance reasoning and data-driven analytical capabilities.
ā¢ Design and develop advanced planning and decision-making algorithms that enable Agents to autonomously perform complex tasks and improve operational efficiency.
ā¢ 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.
ā¢ 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
ā¢ Masterās or PhD student in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a related field.
ā¢ Strong foundation in mathematics (linear algebra, probability, statistics) and excellent problem-solving skills.
ā¢ Solid understanding of machine learning and deep learning algorithms (e.g., neural networks, decision trees, SVMs, reinforcement learning), with hands-on implementation experience.
ā¢ 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:
ā¢ Deep curiosity and passion for autonomous systems, reasoning, and multi-agent collaboration.
ā¢ Ability to bridge theoretical research and practical application.
ā¢ Experience with reinforcement learning, tool-augmented LLMs, or agentic workflows is a strong plus.
ā¢ Proficiency in both English and Mandarin will be a plus.
ā¢ 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
šÆ 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.
ā Required Qualifications
- Masterās 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.
ā Preferred Qualifications
- 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.
š ļø Required Skills
- Strong foundation in mathematics (linear algebra, probability, statistics).
- Excellent problem-solving skills.
- Solid understanding of machine learning and deep learning algorithms (neural networks, decision trees, SVMs, reinforcement learning).
- Hands-on implementation experience with ML/DL algorithms.
- Proficiency in Python.
- Familiarity with TensorFlow and PyTorch.
- Ability to independently develop and train models.
š Benefits
- Equal employment opportunity and diverse, inclusive work environment.
- Support for individual and common goals in a global gaming brand.
Locations
- London, United Kingdom
Salary
Estimated Salary Rangemedium confidence
25,000 - 35,000 GBP / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Strong foundation in mathematics (linear algebra, probability, statistics).intermediate
- Excellent problem-solving skills.intermediate
- Solid understanding of machine learning and deep learning algorithms (neural networks, decision trees, SVMs, reinforcement learning).intermediate
- Hands-on implementation experience with ML/DL algorithms.intermediate
- Proficiency in Python.intermediate
- Familiarity with TensorFlow and PyTorch.intermediate
- Ability to independently develop and train models.intermediate
Required Qualifications
- Masterās or PhD student in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a related field. (experience)
- Strong foundation in mathematics (linear algebra, probability, statistics) and excellent problem-solving skills. (experience)
- Solid understanding of machine learning and deep learning algorithms (e.g., neural networks, decision trees, SVMs, reinforcement learning), with hands-on implementation experience. (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. (experience)
Preferred Qualifications
- Deep curiosity and passion for autonomous systems, reasoning, and multi-agent collaboration. (experience)
- Ability to bridge theoretical research and practical application. (experience)
- Experience with reinforcement learning, tool-augmented LLMs, or agentic workflows is a strong plus. (experience)
- Proficiency in both English and Mandarin will be a plus. (experience)
- Minimum 6-month full-time internship preferred. (experience)
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.
Benefits
- general: Equal employment opportunity and diverse, inclusive work environment.
- general: Support for individual and common goals in a global gaming brand.
Tags & Categories
Answer 10 quick questions to check your fit for AI Agent Research & Application Intern 106432 @ Tencent.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs
AI Agent Research & Application Intern 106432
Tencent
AI Agent Research & Application Intern 106432
Job Description
AI Agent Research & Application Intern 106432
š Job Overview
This internship role at Level Infinite, Tencent's global gaming brand, 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 in gaming and beyond. The position is based in London, UK, and supports Tencent's commitment to diverse and inclusive innovation.
š Location: London, United Kingdom
š¢ Business Unit: IEG
š Full Description
About the Hiring Team
Level Infinite is Tencentās 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
ā¢ Conduct research on AI foundation models to enhance reasoning and data-driven analytical capabilities.
ā¢ Design and develop advanced planning and decision-making algorithms that enable Agents to autonomously perform complex tasks and improve operational efficiency.
ā¢ 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.
ā¢ 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
ā¢ Masterās or PhD student in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a related field.
ā¢ Strong foundation in mathematics (linear algebra, probability, statistics) and excellent problem-solving skills.
ā¢ Solid understanding of machine learning and deep learning algorithms (e.g., neural networks, decision trees, SVMs, reinforcement learning), with hands-on implementation experience.
ā¢ 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:
ā¢ Deep curiosity and passion for autonomous systems, reasoning, and multi-agent collaboration.
ā¢ Ability to bridge theoretical research and practical application.
ā¢ Experience with reinforcement learning, tool-augmented LLMs, or agentic workflows is a strong plus.
ā¢ Proficiency in both English and Mandarin will be a plus.
ā¢ 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
Level Infinite is Tencentās 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
ā¢ Conduct research on AI foundation models to enhance reasoning and data-driven analytical capabilities.
ā¢ Design and develop advanced planning and decision-making algorithms that enable Agents to autonomously perform complex tasks and improve operational efficiency.
ā¢ 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.
ā¢ 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
ā¢ Masterās or PhD student in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a related field.
ā¢ Strong foundation in mathematics (linear algebra, probability, statistics) and excellent problem-solving skills.
ā¢ Solid understanding of machine learning and deep learning algorithms (e.g., neural networks, decision trees, SVMs, reinforcement learning), with hands-on implementation experience.
ā¢ 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:
ā¢ Deep curiosity and passion for autonomous systems, reasoning, and multi-agent collaboration.
ā¢ Ability to bridge theoretical research and practical application.
ā¢ Experience with reinforcement learning, tool-augmented LLMs, or agentic workflows is a strong plus.
ā¢ Proficiency in both English and Mandarin will be a plus.
ā¢ 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
šÆ 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.
ā Required Qualifications
- Masterās 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.
ā Preferred Qualifications
- 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.
š ļø Required Skills
- Strong foundation in mathematics (linear algebra, probability, statistics).
- Excellent problem-solving skills.
- Solid understanding of machine learning and deep learning algorithms (neural networks, decision trees, SVMs, reinforcement learning).
- Hands-on implementation experience with ML/DL algorithms.
- Proficiency in Python.
- Familiarity with TensorFlow and PyTorch.
- Ability to independently develop and train models.
š Benefits
- Equal employment opportunity and diverse, inclusive work environment.
- Support for individual and common goals in a global gaming brand.
Locations
- London, United Kingdom
Salary
Estimated Salary Rangemedium confidence
25,000 - 35,000 GBP / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Strong foundation in mathematics (linear algebra, probability, statistics).intermediate
- Excellent problem-solving skills.intermediate
- Solid understanding of machine learning and deep learning algorithms (neural networks, decision trees, SVMs, reinforcement learning).intermediate
- Hands-on implementation experience with ML/DL algorithms.intermediate
- Proficiency in Python.intermediate
- Familiarity with TensorFlow and PyTorch.intermediate
- Ability to independently develop and train models.intermediate
Required Qualifications
- Masterās or PhD student in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a related field. (experience)
- Strong foundation in mathematics (linear algebra, probability, statistics) and excellent problem-solving skills. (experience)
- Solid understanding of machine learning and deep learning algorithms (e.g., neural networks, decision trees, SVMs, reinforcement learning), with hands-on implementation experience. (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. (experience)
Preferred Qualifications
- Deep curiosity and passion for autonomous systems, reasoning, and multi-agent collaboration. (experience)
- Ability to bridge theoretical research and practical application. (experience)
- Experience with reinforcement learning, tool-augmented LLMs, or agentic workflows is a strong plus. (experience)
- Proficiency in both English and Mandarin will be a plus. (experience)
- Minimum 6-month full-time internship preferred. (experience)
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.
Benefits
- general: Equal employment opportunity and diverse, inclusive work environment.
- general: Support for individual and common goals in a global gaming brand.
Tags & Categories
Answer 10 quick questions to check your fit for AI Agent Research & Application Intern 106432 @ Tencent.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs