Reinforcement Learning Intern

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

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?

At Razer, you’ll be at the forefront of the most exciting industry in the world: gaming. As gaming evolves, so does the ecosystem that powers it: hardware, software and services. Guided by our mission “For Gamers. By Gamers.”, we create cutting‑edge products and experiences that define the ultimate gameplay. Staying true to our mission, we’re relentlessly pushing boundaries and leading the charge in AI for gaming, shaping the future of the industry. At Razer, you won’t just witness this evolution; you’ll help drive it. Joining Razer means being part of a global mission to bring gamers closer to the games they love. Whether you’re crafting the next generation of gaming gear or powering our global operations behind the scenes, you’ll take on meaningful work in a truly international, cross‑cultural environment. The journey toward Being Phenomenal isn’t always easy, but gamers excel through teamwork, grit, and problem‑solving. Our people are what make Razer exceptional. Together, we’ll take Razer to even greater heights.

Razer is proud to be certified a Great Place to Work® in both the United States and Singapore, and recognized as a Singapore Top Employer by the Top Employer Institute, reflecting our commitment to making your journey here a rewarding one.

Equal Opportunity Employer

At Razer, we believe diverse teams build better ideas and a stronger culture.

We are committed to providing an inclusive, respectful, and fair workplace for every employee.

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 by the laws of the countries we operate in.

We also provide reasonable accommodations where needed — including for disability or religious practices — so every team member can perform and contribute at their best.