Reinforcement Learning Intern

Descripción del puesto:

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 :

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.
* Able to commit to a 6 months, full-time internship from Jan - Jun 2026

Pre-Requisites :

Are you game