Senior Data Scientist

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 • 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? At Razer, you'll be at the forefront of the most exciting industry in the world: gaming. As gaming evolves, so does the ecosystem that powers it: hardware, software and services. Guided by our mission "For Gamers. By Gamers.", we create cutting-edge products and experiences that define the ultimate gameplay. Staying true to our mission, we're relentlessly pushing boundaries and leading the charge in AI for gaming, shaping the future of the industry. At Razer, you won't just witness this evolution; you'll help drive it. Joining Razer means being part of a global mission to bring gamers closer to the games they love. Whether you're crafting the next generation of gaming gear or powering our global operations behind the scenes, you'll take on meaningful work in a truly international, cross-cultural environment. The journey toward Being Phenomenal isn't always easy, but gamers excel through teamwork, grit, and problem-solving. Our people are what make Razer exceptional. Together, we'll take Razer to even greater heights. Razer is proud to be certified a Great Place to Work in both the United States and Singapore, and recognized as a Singapore Top Employer by the Top Employer Institute, reflecting our commitment to making your journey here a rewarding one. Equal Opportunity Employer At Razer, we believe diverse teams build better ideas and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected by the laws of the countries we operate in. We also provide reasonable accommodations where needed - including for disability or religious practices - so every team member can perform and contribute at their best. #J-18808-Ljbffr