RL AI Research Scientist

Pokee AI is seeking an RL AI Research Scientist to design, implement, and scale novel reinforcement learning algorithms for their AI agent platform. The role involves developing methods for context selection, long-horizon planning, and reward shaping to enable agents to operate reliably at scale.

Responsibilities:

• Design and implement novel RL algorithms for training AI agents on complex, multi-step enterprise workflows
• Develop and refine reward modeling, context selection, and policy optimization techniques that improve agent accuracy over extended task horizons
• Run large-scale experiments, analyze results rigorously, and translate research findings into production-ready components
• Collaborate closely with infrastructure engineers to ensure research prototypes scale efficiently on both cloud and on-device hardware
• Contribute to the company’s intellectual property through publications, patents, and open-source contributions
• Stay current with the latest advances in RL, LLM fine-tuning, and AI agent architectures, and propose new research directions