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 working on real-world enterprise tasks and developing methods to enhance agent performance and reliability.
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