Senior Data Scientist

2 weeks ago


Singapore Razer Inc. Full time

Join to apply for the AI Data Scientist role at Razer Inc. 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 worldwide while working across a team located on 5 continents. Razer is also a great place to work, providing a unique, gamer-centric experience that fosters both personal and professional growth. Job Responsibilities Research, design, and implement rewards-based agents using Reinforcement Learning (RL) for testing gaming applications. Develop and optimize agents and RAG-based solutions for dynamic content creation, adaptive player interactions, and enhanced gaming experiences. Collaborate with game developers, designers, and engineers to integrate AI models into game development workflows. Build and optimize AI-powered gaming tools to create immersive and dynamic player experiences. Develop and fine-tune models to improve AI in gaming applications. Analyze and preprocess game data, training AI models for better in-game decision-making. Stay updated on AI advancements in gaming to keep solutions state-of-the-art. Evaluate model performance through experimentation and benchmarking to improve efficiency and scalability. Assist in deploying, monitoring, and maintaining AI models in production. Document research, methodologies, and findings for internal and external sharing. Pre-Requisites Strong expertise in Reinforcement Learning (RL), Generative AI, and RAG. Proficiency in Python, with experience in PyTorch or TensorFlow. Experience with game engines like Unity or 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 AI deployment (AWS, GCP, Azure). Strong problem-solving skills and ability to translate research into practical solutions. Excellent communication skills for collaboration with diverse teams. Passion for gaming and understanding of game mechanics and AI-driven storytelling. Education & Experience Master’s or PhD in Computer Science, AI, Machine Learning, or related fields. At least 1 year of experience in AI research or applied machine learning, preferably in gaming or interactive media. Travel Requirements This role is based in Singapore, with occasional travel (up to 1 trip per year) for conferences, collaborations, or meetings. Additional Details Seniority Level: Entry level Employment Type: Full-time Job Function: Engineering and IT Industry: Computers and Electronics Manufacturing #J-18808-Ljbffr



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