Working Student AI Balancing / Machine Learning Engineer (Gamedev)

TL;DR

Working Student AI Balancing / Machine Learning Engineer (AI/ML): Building next-generation AI-native balancing pipelines and live workflows for the Empire franchise with an accent on AI-assisted toolchains and ML-supported automation. Focus on analyzing simulation outputs, improving balancing efficiency, and integrating LLM tooling into game production.

Location: Fully Remote (Germany) / Hamburg

Company

A leading free-to-play, online games development company active on web and mobile platforms, creating high-quality gaming experiences for over 500 million registered users worldwide.

What you will do

• Support balancing and simulation for core game systems, including heroes, troops, economy, progression, and events.
• Operate and improve AI-assisted balancing toolchains and workflows to increase production efficiency.
• Develop scripts and ML-supported automations to accelerate balancing iteration speed.
• Analyze simulation outputs and player behavior signals to support data-driven balancing decisions.
• Collaborate with game design, QA, engineering, and production teams on tooling improvements.
• Document and structure balancing processes, prompts, and datasets for scalable AI production.

Requirements

• Currently enrolled in Data Science, AI/ML, Mathematics, Game Design, or a related field.
• Strong interest in AI-native workflows, automation, and LLM tooling.
• Proficiency with modern AI tools such as Claude Code, Cursor, or ChatGPT.
• Analytical mindset with structured thinking and strong attention to detail.
• Passion for strategy games and game balancing systems.

Nice to have

• Experience with game balancing, simulations, data analysis, or modding.
• Experience building small ML projects, agents, automations, or personal AI workflows.

Culture & Benefits

• Opportunity to work on a massive IP with over 200 million players.
• Hands-on experience at the intersection of AI, live operations, and game production.
• Highly iterative and innovative environment focusing on AI-native development.
• Multicultural team with employees from more than 40 different nations.