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Senior Data Scientist
Company Overview
A multinational technology company with dual headquarters in Singapore and Irvine, California, founded in 2005, is a leading lifestyle brand for gamers, embodying the motto “For Gamers. By Gamers.”
Job Description
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.
Essential Duties and 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
Qualifications
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.
Disclaimer
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