Applied AI Engineer at Innovative AI simulation startup

About the role

Join a venture-backed startup focused on building large-scale 3D environment and game generation systems. You will manage core simulation and generation stacks to advance how interactive virtual worlds are created and monetized.

Key facts

What you'll do

• Create and refine pipelines for world generation with a focus on inference optimization and data-efficient training.
• Architect distributed systems for multi-agent orchestration to enable coordinated world synthesis.
• Construct reinforcement learning pipelines and frameworks for agentic reasoning to support adaptive game mechanics and emergent behaviors.

Requirements

• Proficiency in software engineering with the ability to bridge the gap between research concepts and production environments.
• Practical experience in training or developing agentic or large multimodal AI systems.
• Background in large-scale 3D or vision pipelines, data curation, or distributed training.

Skills & tools

• AI world generation
• Distributed multi-agent orchestration
• Reinforcement learning
• Agentic reasoning frameworks
• Large-scale 3D/vision pipelines
• Distributed training

Practical notes

To apply, visit the cvin.bio website and select Speak with Jack. You will need to log in via LinkedIn and complete a 20-minute conversation with the AI agent to assess your background. If you are a match, Jack will facilitate an introduction to the hiring manager.