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 : 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. 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. - 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 : - 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?