SEED Master Thesis Intern
Electronic Arts
- Stockholm
- Utbildning
- Heltid
- ML-based asset generation for games
- 3D Editing with Textual and Visual Control
- Neural compression for textures
- Evolving adaptive agent behavior to a player
- ML Agents for Ice Hockey Gameplay
- Gaussian Splatting for Real-Time Rendering
- Masters Thesis Computer Science, with a specialization in machine learning or game development.
- Interest in game development and tools for generating game content.
- Good knowledge of python and either pytorch or tensorflow
- Knowledge of game development in Unity and / or Unreal
- Knowledge of generative models and reinforcement learning