RL AI Research Scientist

Meet Pokee-Isaac 28B — the world’s first real 10M-token context model.Try it→

Back to all positions

RL AI Research Scientist

ResearchRemote (US/Singapore Preferred)Full-time

Design, implement, and scale novel reinforcement learning algorithms that form the core of Pokee's AI agent platform.

About the Role

As 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 For

Required

• PhD (or equivalent research experience) in Reinforcement Learning, Machine Learning, or a closely related field
• Strong 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/RLAIF
• Proficiency in Python and at least one deep learning framework (PyTorch strongly preferred)
• Experience training and fine-tuning large language models is a significant plus
• Demonstrated 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 industries
• Track record of open-source contributions in RL or LLM ecosystems
• Experience with distributed training at scale (FSDP, DeepSpeed, Megatron)

Who You Are

You 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 Scientist

Ready to join our team? Fill out the form below to apply.

Full Legal Name *

Email *

Resume *Upload File or drag and drop here

Phone Number *

Preferred First Name *

Preferred Last Name *

LinkedIn Profile or Website

How did you hear about this opportunity? (Select all that apply)

Twitter/XGoogleDiscordLinkedInYouTubeRedditFacebookInstagramCareer FairConference or MeetupGlassdoorFriend/ColleagueJob BoardOther

Preferred Location *Select a location...United States (Remote)Singapore (Remote)Remote

Please provide your current city and state/province. *

Got projects, demos, or side hustles? We'd love to see what you've built. (Optional)

Submit Application

Follow on LinkedIn

Cookie Settings

We use cookies to improve your experience and analyze site usage. By clicking "Accept", you consent to our use of cookies. See our Privacy Policy for details.

DeclineAccept

RL AI Research Scientist - Careers at Pokee AI