Senior Machine Learning Engineer, AI Authoring

Lead the design, implementation, and scaling of AI agents that generate code and execute goal-directed behaviors in real-time environments.
Define orchestration logic for single- and multi-agent systems to enable coherent, autonomous decision-making.
Develop reusable agentic frameworks—including planning modules, memory systems, and policy adaptation layers—for broad creator extensibility.
Drive high-impact initiatives such as hierarchical reinforcement learning, AI planning and goal inference for NPCs and simulations, and persistent world modeling for believable behavior.
Collaborate with engine, design, and product teams to unlock innovative AI use cases across games, simulations, and interactive storytelling.
Set and champion best practices for model quality, simulation-based evaluation, and ML/AI safety in real-time systems, shaping the long-term roadmap for agentic AI offerings.