Build Unity AI agent systems with machine learning and reinforcement learning expertise in real-time game environments. Shape goal-directed behavior and decision-making.
Unity seeks a Senior Machine Learning Engineer to develop AI models and reusable agentic frameworks for Unity games. You will address planning, memory, policy adaptation, and decision-making under uncertainty. The work supports gaming, simulation, and interactive storytelling through modular, usable, performant systems.
Key Responsibilities
Design and scale AI agent systems within Unity environmentsDevelop reusable planning, memory,
and policy adaptation frameworksIntegrate machine learning models under real-time engine constraintsLead reinforcement learning and NPC planning initiativesMentor engineers and researchers while establishing best practicesRequirements:
Advanced degree or equivalent practical experience in a related fieldFive or more years developing production machine learning systemsExperience with real-time or interactive environmentsBackground in reinforcement learning or AI planningKnowledge of uncertainty, fine-tuning, or multi-agent systemsAdvance Unity’s agentic AI offerings through machine learning, planning, reinforcement learning, and real-time system expertise.
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