Join a pioneering team at the forefront of AI world generation, building large-scale systems for real-time 3D environment and game creation. You'll work on distributed multi-agent orchestration, data-efficient training, and inference optimization, enabling new frontiers in interactive experiences. This role offers the chance to own core generation and simulation stacks, impacting how engaging virtual worlds are made and monetized.
Location: San Francisco, USA
Why this role is remarkable:
Work at the intersection of applied AI and large-scale systems for world generation.
Backed by top-tier VCs, driving innovation in the rapidly evolving AI and gaming sectors.
Opportunity to own significant parts of the core generation and simulation stack, shaping the future of interactive content.
What you will do:
Develop and optimize world generation pipelines, focusing on data-efficient training and inference.
Design and implement distributed multi-agent orchestration systems for coordinated world synthesis.
Build reinforcement learning pipelines and agentic reasoning frameworks for adaptive game generation and emergent behavior.
The ideal candidate:
Possesses strong software fundamentals and can navigate between production systems and research.
Has experience building or training large multimodal or agentic AI systems.
Familiar with distributed training, data curation, or large-scale vision/3D pipelines.