Reinforcement Learning Intern — Create Game AI Agents

Razer Inc.; Singapore; On-site; SGD 16,000 - 23,000; Full time

Job summary

Razer Inc. is seeking an AI Software Reinforcement Learning Intern to join our team and help develop autonomous agents capable of interacting with and learning from virtual environments.

You will work on environment integration, reward design, policy training, evaluation, and optimization for gameplay and automated testing use cases. You will design, train, and evaluate agents using Gym or Unreal Engine, implement reward functions, test policy optimization, and collaborate with mentors to refine

Qualifications

• Currently pursuing a Bachelor's or Master's degree in Computer Science, AI, or related fields.

Responsibilities

• Design, train, and evaluate reinforcement learning agents using frameworks such as Gym or Unreal engine.
• Implement and test reward functions, policy optimization techniques, and training pipelines.
• Conduct experiments to measure agent performance and learning efficiency.
• Collaborate with mentors to refine models and interpret experimental data.
• Document processes, findings, and insights.

Skills

Python

Machine learning basics

Analytical thinking

Self-motivation

Education

Bachelor's or Master's in Computer Science, AI, or related fields

Tools

Gym

Unreal Engine

Job description

Razer Inc. is seeking an AI Software Reinforcement Learning Intern to join our team and help develop autonomous agents capable of interacting with and learning from virtual environments.

You will work on environment integration, reward design, policy training, evaluation, and optimization for gameplay and automated testing use cases. You will design, train, and evaluate agents using Gym or Unreal Engine, implement reward functions, test policy optimization, and collaborate with mentors to refine