Senior Machine Learning Engineer, Unity

• This role is perfect for someone passionate about pushing the boundaries of AI, multi-agent systems, reinforcement learning, and intelligent decision-making in complex, real-time environments
• Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, or a related field
• 5+ years of hands-on experience developing ML systems in production, ideally within real-time or interactive environments
• Experience with multi-agent systems, orchestration, or AI tool integration
• Strong background in one or more of the following: LLM, reinforcement learning, decision-making under uncertainty, AI planning, or multi-agent systems
• Proficiency in at least one general-purpose programming language (e.g., Python, C++, Go, Java) and familiarity with ML frameworks (e.g., PyTorch, TensorFlow)
• Strong system design skills and the ability to architect performant, scalable ML systems
• Excellent communication and collaboration skills; ability to work effectively with cross-functional teams including engine developers, designers, and product managers
• This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language

Desirable

• We’re looking for a Staff Machine Learning Engineer to lead the development of these foundational AI systems within the Unity engine, empowering creators to build smarter, more responsive in-game agents and simulations
• Your work will directly drive innovation, allowing developers and designers to integrate sophisticated AI behavior seamlessly into their worlds
• You'll design, implement, and scale AI agents that assist in generating game code and executing goal-directed behaviors
• Define orchestration logic for single- and multi-agent systems
• Develop reusable agentic frameworks - planning modules, memory systems, or policy adaptation layers - for creator extensibility
• 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