Senior Ds

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?**