RL AI Research Intern
United States
Remote
1 month ago
About the role
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RL AI Research Intern
Preferred
Research Remote (US/Singapore Preferred) Internship — 12 to 16 weeks
Embed directly with our research team to tackle open problems in reinforcement learning for AI agents.
About The Role
As an RL Research Intern, you’ll embed directly with our research team to tackle open problems in reinforcement learning for AI agents. This is a hands-on research role where you’ll design experiments, implement algorithms, and contribute meaningfully to Pokee’s core technology—with mentorship from researchers who have led RL platforms at Meta AI and studied under pioneers like Rich Sutton.
What You'll Do
What We're Looking For
Required
Bonus Points
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 Intern
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)
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RL AI Research Intern
Preferred
Research Remote (US/Singapore Preferred) Internship — 12 to 16 weeks
Embed directly with our research team to tackle open problems in reinforcement learning for AI agents.
About The Role
As an RL Research Intern, you’ll embed directly with our research team to tackle open problems in reinforcement learning for AI agents. This is a hands-on research role where you’ll design experiments, implement algorithms, and contribute meaningfully to Pokee’s core technology—with mentorship from researchers who have led RL platforms at Meta AI and studied under pioneers like Rich Sutton.
What You'll Do
- 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
What We're Looking For
Required
- 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
Bonus Points
- 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
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 Intern
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)
Follow on LinkedIn
Skills
Technology, Information and Internet