INTERNSHIP DETAILS

Reinforcement Learning Intern

CompanyRazer Inc.
LocationSingapore
Work ModeOn Site
PostedOctober 8, 2026
Internship Information
Core Responsibilities
The intern will develop autonomous agents by designing, training, and evaluating reinforcement learning models within virtual environments. They will also collaborate with mentors to refine models, implement reward functions, and document experimental findings.
Internship Type
full time
Company Size
1985
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Razer™ is the world’s leading lifestyle brand for gamers. The triple-headed snake trademark of Razer is one of the most recognized logos in the global gaming and esports communities. With a fan base that spans every continent, the company has designed and built the world’s largest gamer-focused ecosystem of hardware, software and services. Razer’s award-winning hardware includes high-performance gaming peripherals and Blade gaming laptops. Razer’s software platform, with over 70 million users, includes Razer Synapse (an Internet of Things platform), Razer Chroma™ (a proprietary RGB lighting technology system), and Razer Cortex (a game optimizer and launcher). In services, Razer Gold is one of the world’s largest virtual credit services for gamers, and Razer Fintech is one of the largest online-to-offline digital payment networks in SE Asia. Founded in 2005 and dual-headquartered in Irvine and Singapore, Razer has 18 offices worldwide and is recognized as the leading brand for gamers in the USA, Europe and China.
About the Role

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?

Key Skills
Reinforcement LearningPythonMachine LearningGymUnreal EngineQ-learningPPODQNReward DesignPolicy OptimizationData AnalysisDebuggingExperiment TrackingSimulation-based AI
Categories
TechnologySoftwareData & AnalyticsScience & ResearchEngineering