At a Glance
- Tasks: Advance AI Agent architecture through research and experimentation on cutting-edge projects.
- Company: Level Infinite, Tencent’s global gaming brand, dedicated to innovative gaming experiences.
- Benefits: Gain hands-on experience in AI while working with a diverse and inclusive team.
- Other info: Join a dynamic environment with opportunities for growth and collaboration.
- Why this job: Make a real impact in the gaming industry by enhancing AI capabilities.
- Qualifications: Master’s or PhD student in relevant fields with strong problem-solving skills.
The predicted salary is between 20000 - 30000 £ per year.
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.
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.
AI Agent Research & Application Intern employer: SwiftCruit
Level Infinite is an exceptional employer that champions innovation and inclusivity within the gaming industry. Located in a vibrant and collaborative environment, we offer interns the chance to work on groundbreaking AI projects while benefiting from a culture that prioritises personal growth and professional development. With access to a global network of resources and a commitment to fostering diverse perspectives, our team members are empowered to make meaningful contributions and thrive in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land AI Agent Research & Application Intern
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace AI Agent Research & Application Intern
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at SwiftCruit will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at SwiftCruit
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress SwiftCruit.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show SwiftCruit that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
