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.
What you'll do
This Senior Data Scientist role will focus on designing and developing advanced AI-driven solutions for game developers and gamers. The ideal candidate will have strong expertise in Reinforcement Learning (RL), Generative AI agents, and Retrieval-Augmented Generation (RAG) to create intelligent gaming tools and experiences.
- Research, design, and implement rewards-based agents using Reinforcement Learning (RL) for testing gaming applications.
- Develop and optimize agents and advanced RAG-based solutions for dynamic game content creation, adaptive player interactions, and enhanced gaming experiences.
What you need
- Strong background in Reinforcement Learning (RL), Generative AI agents, and RAG (Retrieval-Augmented Generation).
- Proficiency in Python and experience with PyTorch or TensorFlow for deep learning.