Tech Stack

Description

You will lead a small, cross-functional team focused on building AI-powered gameplay prototypes. You'll translate emerging ML/AI capabilities into playable game experiments, collaborate with game teams to ensure prototypes meet real gameplay needs, and own the research roadmap from concept to working prototype.

Requirements

• MS in CS or equivalent with 6+ years research experience, or BS with 8+ years
• Strong background in applied research with project leadership experience
• 2+ years in ML for sequential decision-making, agents, or complex systems (e.g., RL, imitation learning)
• Proficiency in C, C++, or Python; expertise with PyTorch or TensorFlow
• Experience working in commercial game engines for prototyping or production

Responsibilities

• Define and lead AI-powered gameplay research directions, translating ML/AI capabilities into playable prototypes
• Build, lead, and mentor a small cross-functional team; set technical direction while remaining hands-on
• Own research and prototyping roadmaps, milestones, and risk management for multi-quarter initiatives
• Work closely with game teams to understand player goals and design constraints
• Rapidly iterate on prototypes balancing research rigor with playability and performance