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 environments
Develop reusable planning, memory, and policy adaptation frameworks
Integrate machine learning models under real-time engine constraints
Lead reinforcement learning and NPC planning initiatives




Mentor engineers and researchers while establishing best practices
Requirements: Advanced degree or equivalent practical experience in a related field
Five or more years developing production machine learning systems
Experience with real-time or interactive environments
Background in reinforcement learning or AI planning
Knowledge of uncertainty, fine-tuning, or multi-agent systems
Advance Unity’s agentic AI offerings through machine learning, planning, reinforcement learning, and real-time system expertise.

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📌 Senior Unity AI Engineer (Quebec City)
🏢 Unity Technologies
📍 Quebec City