Senior Data Scientist (Gaming)

TL;DR

Senior Data Scientist (Gaming AI): Designing and developing advanced AI-driven solutions for game developers and gamers with an accent on Reinforcement Learning (RL), Generative AI agents, and Retrieval-Augmented Generation (RAG). Focus on researching and implementing rewards-based agents, optimizing RAG-based solutions for dynamic game content, and integrating AI models into game development workflows.

Location: Role based in Singapore office, with occasional travel (up to 1 trip per year) for conferences, research collaborations, or business meetings.

Company

Global gaming company revolutionizing the way the world games, with teams across 5 continents.

What you will do

• 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 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 to enable more immersive and dynamic player experiences.
• Develop and fine-tune models to improve AI in gaming applications and analyze game data for better in-game decision-making.
• Evaluate model performance and drift through experimentation, benchmarking, and assist in deployment, monitoring, and maintenance of AI models.
• Document findings, methodologies, and research for internal sharing and external publications.

Requirements

• Strong background in Reinforcement Learning (RL), Generative AI agents, and RAG.
• Proficiency in Python and experience with PyTorch or TensorFlow for deep learning.
• Familiarity with LLMs, transformers, diffusion models, and self-learning AI systems.
• Experience in training and fine-tuning large-scale AI models and cloud-based AI deployment (AWS, GCP, or Azure).
• Master’s or PhD in Computer Science, AI, Machine Learning, or related field.
• 1+ years of experience in AI research or applied machine learning, preferably in gaming or interactive media.
• Strong problem-solving skills, excellent communication, and passion for gaming.

Nice to have

• Experience with game engines such as Unity and Unreal Engine.

Culture & Benefits

• Gamer-centric #LifeAtRazer experience with accelerated personal and professional growth.
• Opportunity to make global impact while working across international teams.
• Focus on doing great work in a collaborative, innovative environment.