Senior Machine Learning Engineer
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The role
Lead the design, implementation, and scaling of AI agent systems that enable goal-directed behavior, task planning, and environment-aware decision-making in a real-time engine.
Define reusable agentic frameworks—such as planning modules, memory systems, and policy adaptation layers—for creators to extend in their projects.
Architect ML models optimized for low latency, bounded compute, and deterministic behavior within interactive simulations.
Drive high-impact initiatives in hierarchical reinforcement learning, AI planning, goal inference, and world modeling for persistent, believable agents.
Set the technical roadmap for agentic AI offerings across platforms, prioritizing modularity, performance, and developer usability.
Lead and mentor a team of engineers and researchers, collaborating with engine teams, product managers, and designers to unlock AI-enabled use cases.
Define reusable agentic frameworks—such as planning modules, memory systems, and policy adaptation layers—for creators to extend in their projects.
Architect ML models optimized for low latency, bounded compute, and deterministic behavior within interactive simulations.
Drive high-impact initiatives in hierarchical reinforcement learning, AI planning, goal inference, and world modeling for persistent, believable agents.
Set the technical roadmap for agentic AI offerings across platforms, prioritizing modularity, performance, and developer usability.
Lead and mentor a team of engineers and researchers, collaborating with engine teams, product managers, and designers to unlock AI-enabled use cases.
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