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 :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.- 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
- 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.
Travel Requirements
Role based in Singapore office, with occasional travel (up to 1 trip per year) for conferences, research collaborations, or business meetings.
Are you game?
Skills Required
- Strong background in Reinforcement Learning (RL), Generative AI agents, and RAG
- Proficiency in Python
- Experience with PyTorch or TensorFlow for deep learning
- Experience with game engines such as Unity and Unreal Engine
- 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
- Excellent verbal and written communication skills
- Passion for gaming and understanding of game mechanics
Razer Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Razer and has not been reviewed or approved by Razer.
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Healthcare Strength — Health coverage options include medical plan choices, dental, vision, HSA/FSA, and mental health/EAP, indicating solid core coverage. Global leave and healthcare frameworks are described, reinforcing consistency across locations.
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Retirement Support — A 401(k) with company matching and immediate vesting in some cases supports long‑term savings. This adds tangible value to the core total rewards package.
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Wellbeing & Lifestyle Benefits — Free in‑office lunches on several weekdays and notable employee discounts on company gear enhance day‑to‑day value. Volunteering time and donation matching further complement lifestyle and purpose‑oriented needs.
Razer Insights
What We Do
Razer™ is the world’s leading lifestyle brand for gamers. The triple-headed snake trademark of Razer is one of the most recognized logos in the global gaming and esports communities. With a fan base that spans every continent, the company has designed and built the world’s largest gamer-focused ecosystem of hardware, software and services. Razer’s award-winning hardware includes high-performance gaming peripherals and Blade gaming laptops. Razer’s software platform, with over 70 million users, includes Razer Synapse (an Internet of Things platform), Razer Chroma™ (a proprietary RGB lighting technology system), and Razer Cortex (a game optimizer and launcher). In services, Razer Gold is one of the world’s largest virtual credit services for gamers, and Razer Fintech is one of the largest online-to-offline digital payment networks in SE Asia. Founded in 2005 and dual-headquartered in Irvine and Singapore, Razer has 18 offices worldwide and is recognized as the leading brand for gamers in the USA, Europe and China. Razer is listed on the Hong Kong Stock Exchange (Stock Code: 1337).
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