Senior Data Scientist

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer isa 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 alsoa 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 :

• Research, design, and implement rewards-based agents usingReinforcement 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 withgame developers, designers, and software engineers to integrate AI models into game development workflows.
• Build and optimizeAI-powered gaming tools, enabling developers to create more immersive and dynamic player experiences.
• Develop and fine-tunemodels 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 inAI for gaming, ensuring our solutions remain state-of-the-art.
• Evaluatemodel performance and drift through experimentation and benchmarking, improving efficiency and scalability.
• Assist in thedeployment, 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 :

• Strong background inReinforcement Learning (RL), Generative AI agents, and RAG (Retrieval-Augmented Generation).
• Proficiency inPython and experience withPyTorch or TensorFlow for deep learning.
• Experience withgame enginessuch as Unity and Unreal Engine is a plus.
• Familiarity withLLMs, transformers, diffusion models, and self-learning AI systems.
• Experience intraining and fine-tuning large-scale AI models.
• Experience withcloud-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 to1 trip per year) for conferences, research collaborations, or business meetings.

Are you game?