Pokee AI
Posted 123 days agoVerified live 23h ago
RL AI Research Intern
Brief overview
United StatesIn-person
MastersOr in progress
3 H-1B approvalsDept. of Labor
Reinforcement LearningMachine LearningPython programmingPyTorchExperiment designAlgorithm implementationBenchmarkingResearch collaborationTechnical communicationLLM fine-tuningRLHFAI agent frameworksDistributed trainingLarge-scale experiment infrastructure
About the company
Pokee AIpokee.ai
Pokee AI is an AI company that offers an interactive, personalized, and efficient AI agent that helps in planning, reasoning and tool usage.
Visa sponsorship history
1 year sponsoring, last filed FY2025
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.3H-1B approved
100%approval rate
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20253
Job description
Summary
Pokee AI is a company focused on reinforcement learning for AI agents, and they are seeking an RL AI Research Intern to join their research team. The role involves designing experiments, implementing algorithms, and contributing to core technology with mentorship from experienced researchers.
Responsibilities
- Investigate and prototype novel RL approaches for context selection, reward shaping, or policy optimization in agent workflows
- Design and execute experiments, producing clear analyses and actionable insights
- Implement and benchmark RL algorithms against internal and public baselines
- Collaborate with senior researchers and engineers in a fast-paced startup environment
- Document findings and present results to the broader team; strong work may lead to publication opportunities
Skills
- Currently pursuing a PhD or Master's degree in Reinforcement Learning, Machine Learning, Computer Science, or a related field
- Solid understanding of RL fundamentals (MDPs, policy gradients, Q-learning, actor-critic methods)
- Strong programming skills in Python with experience in PyTorch or similar frameworks
- Ability to independently design experiments and iterate quickly on ideas
- Excellent written and verbal communication skills
- Publications or preprints at top ML venues
- Experience with LLM fine-tuning, RLHF, or AI agent frameworks
- Familiarity with distributed training or large-scale experiment infrastructure
- Prior industry research internship experience
Qualifications
Must Haves
- Currently pursuing a PhD or Master's degree in Reinforcement Learning, Machine Learning, Computer Science, or a related field
- Solid understanding of RL fundamentals (MDPs, policy gradients, Q-learning, actor-critic methods)
- Strong programming skills in Python with experience in PyTorch or similar frameworks
- Ability to independently design experiments and iterate quickly on ideas
- Excellent written and verbal communication skills
Nice to Haves
- Publications or preprints at top ML venues
- Experience with LLM fine-tuning, RLHF, or AI agent frameworks
- Familiarity with distributed training or large-scale experiment infrastructure
- Prior industry research internship experience
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