RL AI Research Scientist

About the job Back to all positionsRL AI Research ScientistPreferredResearch Remote (US/Singapore Preferred) Full-timeDesign, implement, and scale novel reinforcement learning algorithms that form the core of Pokee's AI agent platform.About The RoleAs an RL Research Scientist, you will design, implement, and scale novel reinforcement learning algorithms that form the core of Pokee’s AI agent platform. You’ll work at the frontier of RL applied to real-world enterprise tasks—developing methods for context selection, long-horizon planning, and reward shaping that enable agents to operate reliably at scale.What You’ll Do 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 What We’re Looking ForRequired PhD (or equivalent research experience) in Reinforcement Learning, Machine Learning, or a closely related fieldStrong publication record at top venues (NeurIPS, ICML, ICLR, AAAI, or equivalent)Deep expertise in RL fundamentals: policy gradient methods, value-based methods, model-based RL, multi-agent RL, or RLHF/RLAIFProficiency in Python and at least one deep learning framework (PyTorch strongly preferred)Experience training and fine-tuning large language models is a significant plusDemonstrated ability to take research from prototype to production Bonus Points Experience with on-device or edge inference optimization (quantization, distillation, MoE architectures)Familiarity with enterprise software deployment, compliance, or regulated industriesTrack record of open-source contributions in RL or LLM ecosystemsExperience with distributed training at scale (FSDP, DeepSpeed, Megatron) Who You AreYou want to join a small, elite team solving one of the hardest problems in AI—building agents that actually work in the real world. You’ll have direct impact on the product, access to cutting-edge research, and the opportunity to shape the future of enterprise AI from the ground up.Apply for RL AI Research ScientistReady to join our team? Fill out the form below to apply.Full Legal Name *Email *Resume *Upload File or drag and drop herePhone Number *Preferred First Name *Preferred Last Name *LinkedIn Profile or WebsiteHow did you hear about this opportunity? (Select all that apply)Twitter/XGoogleDiscordLinkedInYouTubeRedditFacebookInstagramCareer FairConference or MeetupGlassdoorFriend/ColleagueJob BoardOtherPreferred Location *Select a location...United States (Remote)Singapore (Remote)RemotePlease provide your current city and state/province. *Got projects, demos, or side hustles? We'd love to see what you've built. (Optional)Follow on LinkedIn