Intern in Agentic Game Development

Cyber Valley GmbH; Tübingen; Vor Ort; EUR 16.740 - 27.900; Teilzeit

Benefits dieser Stelle

Hands-on experience

International collaboration

Flexible working hours

Zusammenfassung

Cyber Valley GmbH in Tübingen is seeking an Intern in Agentic Game Development to work on innovative projects involving game development and AI. This position offers hands-on experience in designing interactive mini-games and collaborating with an international research team.

Applicants should pursue a Master's degree in a related field and have strong communication skills in English. The role offers flexible hours up to 39 per week, and the contract lasts for 6 months.

Qualifikationen

• Pursuing a Master’s degree in Machine Learning, Computational Linguistics, or related program.
• Experience with game development and web development.
• Ability to work independently with ambiguous requirements.

Aufgaben

• Design and implement an agentic workflow for playable experiences.
• Build systems for interactive mini-games.
• Develop planning and evaluation loops for game generation.

Kenntnisse

Game development

Prototyping

Machine Learning

Computational Linguistics

Web development

Ausbildung

Bachelor’s degree in Computer Science or related field

Master's degree in relevant field

Tools

Game engines

LLM agents

Developer tools

Jobbeschreibung

The Max Planck Institute for Intelligent Systems spans two campuses in Stuttgart and Tübingen, working together toward a common goal: advancing the frontiers of artificial intelligence and robotics. By combining the expertise, they explore the fundamental principles of intelligent systems from multiple perspectives.

Research at the Tübingen site focuses on theoretical and computational aspects of intelligent systems, covering topics such as machine learning, computer vision, control, and societal aspects of artificial intelligence.

The Perceiving Systems Department at the institute’s Tübingen site is looking for a Intern m/f/div in Agentic Game Development, starting as soon as possible.

About the project

Are you interested in building an agentic platform for generating branded playable experiences: short, interactive, game-like experiences that can be created, adapted, and deployed for different concepts, campaigns, and audiences? The project combines large language models, agentic orchestration, web/game development, creative generation, brand constraints, and interactive user experience design.

Roles and responsibilities

They are looking for a talented student who is pursuing a Master’s degree in Machine Learning, Computational Linguistics, Computer Science or adjacent programs.

The candidate will contribute to the following:

• Designing and implementing an agentic workflow that can transform concepts and creative constraints into playable experiences.
• Building systems that generate interactive mini-games, including assets, game mechanics, and web-based playable prototypes.
• Developing LLM-based planning, reasoning, evaluation, and refinement loops for game generation.
• Creating tools for automatically producing, testing, and iterating game logic, visual layouts, scoring systems, and reward mechanics.
• Integrating frontend, backend, and AI components into an end-to-end working pipeline.
• Designing safeguards so that generated content follows safety guidelines, technical constraints, and platform-specific requirements.
• Documenting software architecture, implementation decisions, and technical specifications.

Applicants should have:

• A completed Bachelor’s degree in Computer Science, Machine Learning, Artificial Intelligence, Computational Linguistics, Natural Language Processing, Software Engineering, Data Science, Physics, Mathematics, or a closely related technical field.
• Strong system-level thinking, including the ability to design modular pipelines, evaluate trade-offs, and build maintainable technical infrastructure.
• Experience building prototypes, research code, production software, developer tools, or AI-powered applications.
• Ability to work independently with ambiguous project and technical requirements.
• Good oral and written communication skills in English.

They prefer candidates with prior experience in game development, game engines, web development, LLM agents, tool use, recommender systems and generative AI. Please highlight relevant experience in your cover letter.

Candidates who are not currently enrolled in a Master’s program but have an exceptional and highly relevant background may also be considered. Please explain this in your cover letter.

The offer

The student assistant position will allow you to:

• Gain valuable hands-on experience with agentic game development.
• Work closely with an international research group.
• Interact closely with PhD students and postdoctoral researchers.
• Project duration is 6 months

This is a paid position. The wage depends on candidates’ academic background and prior experience. The working time is up to 39 hours per week.

Application

Applications should include the following documents (in English):

• Cover letter (maximum two pages), describing the applicant’s academic background and research interests.
• Curriculum vitae, including a summary of education, research experience, relevant skills, and (if applicable) publications or software contributions.
• Transcript(s) of records from current and previous degree programs.
• Relevant website or GitHub links to past projects.

The posting is open until filled. For further information about the position, please contact Dr. Shashank Tripathi at [e-mail]

The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. The Max Planck Society strives for gender equality and diversity. Furthermore, the Max Planck Society seeks to increase the number of women in its workforce in those areas where they are underrepresented and therefore explicitly encourages women to apply.