RL AI Research Intern

Pokee AI Inc; Singapore; On-site; SGD 22,000 - 36,000; Full time

Job summary

A leading AI research company in Singapore is seeking an RL Research Intern to join their research team. The role involves designing experiments, implementing algorithms, and contributing to core technology. Ideal candidates are pursuing a PhD or Master's in relevant fields and have solid programming skills. This internship offers mentorship from experienced researchers and a chance to work on cutting-edge AI problems in a fast-paced environment.

Qualifications

• Currently pursuing a PhD or Master’s degree in Reinforcement Learning, Machine Learning, Computer Science, or a related field.
• Solid understanding of RL fundamentals including MDPs, policy gradients, and Q-learning.
• Strong programming skills in Python and experience with PyTorch.
• Ability to design experiments and iterate quickly.
• Excellent written and verbal communication.

Responsibilities

• Investigate and prototype novel RL approaches for AI agents.
• Design and execute experiments, producing clear analyses.
• Implement and benchmark RL algorithms against existing 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

Strong programming skills in Python

Understanding of RL fundamentals

Excellent written and verbal communication skills

Experiment design

Communication

Education

Currently pursuing a PhD or Master’s degree in Reinforcement Learning or related field

Tools

PyTorch

Job description

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

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