Associate Data Scientist

Join Razer on a global mission to revolutionize gaming and make an impact with advanced AI-driven solutions. This role focuses on designing and developing cutting-edge AI capabilities for game developers and gamers, working with AI engineers, game developers, and software engineers. A Master’s or PhD in a relevant field is required.

Requirements

• Research, design, and implement rewards-based agents using Reinforcement Learning (RL) for testing gaming applications.
• Optimize agent performance through hyperparameter tuning, reward shaping, and model architecture refinement.
• Develop and implement computer vision algorithms for tasks such as object detection, recognition, tracking, segmentation, and image classification.
• 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.