
Posted 9 months ago
Gameplay/AI Engineer
AI Summary
Gameplay/AI Engineer shaping gameplay AI and reinforcement-learning systems, prototyping behaviors and training models in Unreal Engine.
About this role
Gameplay/AI Engineer
Do you want to shape the future of gameplay AI and build systems that players can feel, not just see?
We are looking for a creative and technically strong Gameplay AI Engineer who wants to work at the intersection of gameplay, AI systems, and reinforcement learning, helping push emergent and expressive gameplay forward.
You will work closely with designers, gameplay engineers, and stakeholders to prototype, build, and evolve AI behaviors and learning-driven systems aligned with our technical roadmap.
What you will do
Improve and maintain low-level gameplay AI systems aligned with the technical roadmap
Design and develop AI systems in close collaboration with game design
Prototype, experiment, and build AI behaviors for gameplay scenarios
Work closely with stakeholders and game teams to prototype new RL-based locomotion and gameplay platforms
Research, develop, and train reinforcement learning models
Analyze model performance and provide clear visualizations and insights
Improve game-side training frameworks to make models easier to train, debug, and iterate on
Identify opportunities to apply new AI and ML technology to enable more emergent gameplay
Stay up to date with current research and share knowledge within the team
We would love if you have
A creative and curious mindset
A strong background in C++
Solid experience with gameplay engineering
A good grasp of what good gameplay looks and feels like
The ability to “speak design” and collaborate effectively with designers
Experience working in Unreal Engine
An interest in computer science and programming as a craft
Professional English communication skills
Bonus points if you have experience with
Multiplayer systems
Shooter or third-person games
Designing reward functions for reinforcement learning
Training curriculums for ML models
Implementing and evaluating machine learning methods
Reinforcement learning–specific optimization algorithms
Python programming for tooling, training, or analysis
Skills
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