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 :
This 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. This role involves working closely with AI engineers, game developers, and software engineers to build cutting-edge AI capabilities that enhance game mechanics, player engagement, and content generation.
Essential Duties and Responsibilities
- 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.
- Collaborate with game developers, designers, and software engineers to integrate AI models into game development workflows.
- Build and optimize AI-powered gaming tools, enabling developers to create more immersive and dynamic player experiences.
- Develop and fine-tune models to improve AI in gaming applications.
- Analyze and preprocess game data, training AI models to adapt and improve in-game decision-making processes.
- Stay updated on the latest advancements in AI for gaming, ensuring our solutions remain state-of-the-art.
- Evaluate model performance and drift through experimentation and benchmarking, improving efficiency and scalability.
- Assist in the deployment, monitoring, and maintenance of AI models in production environments.
- Document findings, methodologies, and research for internal knowledge sharing and external publications, where applicable.
Pre-Requisites :
Qualifications
- 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.
- Experience with game engines such as Unity and Unreal Engine is a plus.
- Familiarity with LLMs, transformers, diffusion models, and self-learning AI systems.
- Experience in training and fine-tuning large-scale AI models.
- Experience with cloud-based AI deployment (AWS, GCP, or Azure).
- Strong problem-solving skills and ability to translate research into practical solutions.
- Excellent verbal and written communication skills to collaborate with technical and non-technical teams.
- Passion for gaming and an understanding of game mechanics, AI-driven storytelling, and player engagement strategies.
Education & Experience
- Master’s or PhD in a relevant field (Computer Science, AI, Machine Learning, etc.).
- 1+ years of experience in AI research or applied machine learning, preferably in gaming or interactive media.
Travel Requirements
Role based in Singapore office, with occasional travel (up to 1 trip per year) for conferences, research collaborations, or business meetings.
Are you game?
Top Skills
Razer Singapore Office
1 One-north Cres, Singapore, 138538
