Reinforcement Learning Intern (AI)

Location: Singapore Razer AI Center

Company

Razer develops gamer-focused products and technologies through globally distributed teams.

What you will do

• Design, train, and evaluate reinforcement learning agents using Gym or Unreal Engine environments.
• Implement and test reward functions, policy optimization methods, and training pipelines.
• Run experiments to measure agent performance and learning efficiency.
• Collaborate with mentors to refine models and interpret experimental data.
• Document processes, findings, and technical insights.

Requirements

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, AI, or a related field.
• Proficiency in Python and familiarity with machine learning fundamentals.
• Strong analytical thinking, curiosity, and self-motivation.
• Availability for a minimum 16–20 week internship.

Nice to have

• Coursework or experience in reinforcement learning or simulation-based AI.

Culture & Benefits

• Opportunity to contribute to products and technologies used globally.
• Inclusive and respectful workplace committed to equal opportunity.
• Reasonable accommodations are provided where needed for disability or religious practices.