* Design, implement, and scale AI agent systems in Unity environments that enable goal-directed behavior, task planning and execution, and environment-aware decision-making.
* Develop reusable agentic frameworks - such as planning modules, memory systems or policy adaptation layers - that creators can extend in their own projects.
* Develop AI models for the Unity AI agentic system. The AI models perform various tasks for building Unity games.
* Integrate Machine Learning models seamlessly within real-time game engine constraints, optimizing for latency, compute, and determinism.
* Lead high-impact initiatives, including hierarchical reinforcement learning for scalable behaviors, AI planning and goal inference frameworks for NPCs and simulations, and agent memory and world modeling systems for persistent, believable behavior.
* Collaborate across internal and external teams to unlock innovative use cases in gaming, simulation, and interactive storytelling.
* Contribute to the long-term vision and roadmap for Unity’s agentic AI offerings, ensuring modularity, usability, and performance across platforms.
* Establish and champion best practices for model quality, simulation-based evaluation, and ML/AI safety within real-time systems.
* Mentor engineers and researchers while cultivating a technical culture of innovation, excellence, and collaboration.