Opportunity Description
Job Responsibilities
This role will focus on designing and developing advanced Reinforcement Learning (RL) driven solutions for game developers and players. The ideal candidate will have deep expertise in RL algorithms, agent-based modeling, and scalable training frameworks to create intelligent gameplay agents and adaptive in-game behaviors. This role involves working closely with AI engineers, game developers, and software engineers to build cutting‑edge AI capabilities that enhance exploration and fast iteration in production environments. Design and deploy reinforcement learning (RL) agents in the gaming domain to support in‑house AI services. Research, prototype, and evaluate RL agents with different policies and learning methodologies. Develop reward functions, learning strategies, and training environments aligned with gameplay objectives. Optimize agent performance through hyperparameter tuning, reward shaping, and model architecture refinement. Generalize RL agent solutions...
This role will focus on designing and developing advanced Reinforcement Learning (RL) driven solutions for game developers and players. The ideal candidate will have deep expertise in RL algorithms, agent-based modeling, and scalable training frameworks to create intelligent gameplay agents and adaptive in-game behaviors. This role involves working closely with AI engineers, game developers, and software engineers to build cutting‑edge AI capabilities that enhance exploration and fast iteration in production environments. Design and deploy reinforcement learning (RL) agents in the gaming domain to support in‑house AI services. Research, prototype, and evaluate RL agents with different policies and learning methodologies. Develop reward functions, learning strategies, and training environments aligned with gameplay objectives. Optimize agent performance through hyperparameter tuning, reward shaping, and model architecture refinement. Generalize RL agent solutions...