At a glanceSummarised by Seekless from the posting.
Must have11
Strong background in Reinforcement Learning (RL), Generative AI agents, and RAG
Proficiency in Python
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
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
Passion for gaming and understanding of game mechanics, AI-driven storytelling, and player engagement strategies
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
Nice to have1
Experience with game engines such as Unity and Unreal Engine
Skills
Python
PyTorch
TensorFlow
Unity
Unreal Engine
LLMs
transformers
diffusion models
AWS
GCP
Azure
Reinforcement Learning
Generative AI
RAG
About the company
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 :
About the role
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.
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Research, design, and implement rewards-based agents using Reinforcement Learning (RL) for testing gaming applications.
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Develop and optimize agents and advanced RAG-based solutions for dynamic game content creation, adaptive player interactions, and enhanced gaming experiences.
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Collaborate with game developers, designers, and software engineers to integrate AI models into game development workflows.
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Build and optimize AI-powered gaming tools, enabling developers to create more immersive and dynamic player experiences.
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Develop and fine-tune models to improve AI in gaming applications.
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Analyze and preprocess game data, training AI models to adapt and improve in-game decision-making processes.
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Stay updated on the latest advancements in AI for gaming, ensuring our solutions remain state-of-the-art.
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Evaluate model performance and drift through experimentation and benchmarking, improving efficiency and scalability.
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Assist in the deployment, monitoring, and maintenance of AI models in production environments.
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Document findings, methodologies, and research for internal knowledge sharing and external publications, where applicable
Pre-Requisites :
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Strong background in Reinforcement Learning (RL), Generative AI agents, and RAG (Retrieval-Augmented Generation).
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Proficiency in Python and experience with PyTorch or TensorFlow for deep learning.
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Experience with game engines such as Unity and Unreal Engine is a plus.
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Familiarity with LLMs, transformers, diffusion models, and self-learning AI systems.
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Experience in training and fine-tuning large-scale AI models.
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Experience with cloud-based AI deployment (AWS, GCP, or Azure).
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Strong problem-solving skills and ability to translate research into practical solutions.
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Excellent verbal and written communication skills to collaborate with technical and non-technical teams.
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Passion for gaming and an understanding of game mechanics, AI-driven storytelling, and player engagement strategies.
Education & Experience
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Master’s or PhD in a relevant field (Computer Science, AI, Machine Learning, etc.).
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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.