RL AI Research Scientist
Pokee AI · United States
- Hybrid
- Full-time
- $150,000 / year
- United States
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Job highlights
- Design and implement novel RL algorithms.
- Develop advanced AI agent capabilities.
- Conduct large-scale experiments and analysis.
- Collaborate on scalable production deployment.
- Publish research, patents, and open-source contributions.
About the role
RL AI Research Scientist
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
- 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.
Key skills/competency
- Reinforcement Learning
- Machine Learning
- Python
- PyTorch
- LLM Fine-tuning
- AI Agents
- Policy Optimization
- Reward Modeling
- Large-scale Experiments
- Production Deployment
Skills & topics
- Reinforcement Learning
- AI Research Scientist
- Machine Learning
- Python
- PyTorch
- LLM
- AI Agents
- Policy Optimization
- Reward Modeling
- Enterprise AI
How to get hired
- Tailor your resume: Highlight your PhD, publication record, and RL expertise.
- Showcase projects: Include links to GitHub, research papers, or open-source contributions.
- Highlight production experience: Emphasize your ability to move research to production.
- Prepare for technical deep dives: Be ready to discuss RL fundamentals and PyTorch.
- Demonstrate research acumen: Articulate your vision for AI agents and enterprise AI.
Technical preparation
Master RL fundamentals and theory.,Deep dive into PyTorch and its features.,Practice LLM fine-tuning techniques.,Prepare for large-scale experiment design.
Behavioral questions
Describe a complex research problem you solved.,How do you collaborate with engineers?,How do you handle research setbacks?,What's your vision for enterprise AI?
Frequently asked questions
- What specific RL algorithms are prioritized for the RL AI Research Scientist role at Pokee AI?
- The RL AI Research Scientist role at Pokee AI prioritizes expertise in policy gradient methods, value-based methods, model-based RL, multi-agent RL, and RLHF/RLAIF. Experience with designing and implementing novel algorithms for context selection, long-horizon planning, and reward shaping is highly valued.
- What is Pokee AI's stance on publications and intellectual property for their RL AI Research Scientists?
- Pokee AI encourages its RL AI Research Scientists to contribute to the company's intellectual property through publications in top venues, patents, and open-source contributions. This demonstrates a commitment to advancing the field and sharing knowledge.
- How important is prior experience with Large Language Models (LLMs) for the RL AI Research Scientist position?
- Experience training and fine-tuning large language models (LLMs) is considered a significant plus for the RL AI Research Scientist position at Pokee AI. It suggests a candidate's ability to integrate LLM advancements into RL agent development.
- What deep learning framework is preferred for the RL AI Research Scientist role at Pokee AI?
- Proficiency in Python and at least one deep learning framework is required for the RL AI Research Scientist role. PyTorch is strongly preferred by Pokee AI, indicating it's the primary framework used for their research and development.
- Can a candidate with equivalent research experience but without a PhD apply for the RL AI Research Scientist position at Pokee AI?
- Yes, Pokee AI states that a PhD or equivalent research experience is required for the RL AI Research Scientist position. This means substantial, demonstrable research contributions can substitute for a formal PhD.
- What kind of impact can an RL AI Research Scientist expect to have at Pokee AI?
- An RL AI Research Scientist at Pokee AI can expect to have a direct impact on the product by working on cutting-edge AI research. They will contribute to shaping the future of enterprise AI and work with a small, elite team on challenging problems.
- Does Pokee AI support remote work for its RL AI Research Scientists?
- Yes, Pokee AI offers a remote work arrangement for the RL AI Research Scientist position. They prefer candidates based in the US or Singapore, but other remote locations within the US are also considered.