Research Engineer
Roam, San Francisco
The role
You’ll work at the intersection of applied AI and large-scale systems, focusing on world generation pipelines, data-efficient training methods, and inference-time optimization for real-time generation. Your work will enable everyone make, play and monetize highly engaging games & 3D environments. Our current research spans:
- Distributed multi-agent orchestration systems for coordinated world synthesis, spanning terrain generation, asset population, and behavior trees
- Reinforcement learning pipelines for adaptive, open-ended game generation with hierarchical action spaces and dynamic difficulty adjustment
- Agentic codegen & diffusion-based tooling for creating studio quality simulated environments