Job Description

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 :

--------------------------


Razer is hiring for Data Scientists and this 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.

Travel Requirements

Role based in Singapore office, with occasional travel (up to

1 trip per year

) for conferences, research collaborations, or business meetings.

Shortlisted candidates will be contacted for assessment in due course

Are you game?