Reinforcement Learning Intern

Razer; Singapore; On-site; SGD 16,000 - 22,000; Part time

Job summary

Razer is seeking a Reinforcement Learning Intern to join the AI Software team in Singapore. The role focuses on developing autonomous agents that learn from virtual environments, with duties spanning environment integration, reward design, policy training, evaluation, and optimization for gameplay and automated testing.

You will design and evaluate RL agents using Gym or Unreal Engine, implement reward functions and training pipelines, and collaborate with mentors to interpret results, while

Qualifications

• Pursuing a Bachelor's or Master's in Computer Science, AI, or related field.
• Proficiency in Python and familiarity with machine learning fundamentals.
• Coursework or experience in reinforcement learning or simulation-based AI is advantageous.

Responsibilities

• Join our AI Software team as a Reinforcement Learning Intern and help develop autonomous agents capable of interacting with and learning from virtual environments.
• 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

Reinforcement Learning

ML Fundamentals

Team Collaboration

Education

Bachelor’s or Master’s student in CS/AI

Tools

Gym

Unreal Engine

Job description

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

Job Responsibilities :

Join our AI Software team as a Reinforcement Learning Intern 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.

Key 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.

Learning Objectives

• Gain hands‑on understanding of reinforcement learning algorithms (Q‑learning, PPO, DQN, etc.).
• Learn to design training environments, rewards, and evaluation metrics.
• Build practical skills in debugging, experiment tracking, and model improvement.
• Develop the ability to connect theoretical RL concepts with real-world AI applications.

Candidate Requirements

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, AI, or related fields.
• Proficiency in Python and familiarity with machine learning fundamentals.
• Coursework or experience in reinforcement learning or simulation-based AI is advantageous.
• Strong analytical thinking, curiosity, and self‑motivation.
• Availability for a minimum of 16–20 week internship.

Pre-Requisites :

Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best.

Are you game?