Senior Data Scientist

Razer Inc.; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

Razer Inc. is looking for an AI Researcher in Singapore who will develop and optimize AI-powered gaming tools and solutions. The successful candidate will have a strong background in Reinforcement Learning and Generative AI, as well as proficiency in Python and familiarity with game engines. A Master's or PhD in a relevant field and at least 1 year of experience in AI research or machine learning is required. The role also involves occasional travel for conferences or collaborations.

Qualifications

• Strong background in Reinforcement Learning (RL) and Generative AI agents.
• Proficiency in Python with experience in deep learning frameworks.
• Experience with training and fine-tuning large-scale AI models.

Responsibilities

• Research, design, and implement rewards-based agents using RL for gaming applications.
• Develop agents and RAG-based solutions for game content creation.
• Collaborate with developers and designers to integrate AI into workflows.

Skills

Reinforcement Learning

Generative AI

Python

Problem-solving skills

Communication skills

Passion for gaming

Education

Master’s or PhD in Computer Science, AI, or Machine Learning

Tools

PyTorch

TensorFlow

Unity

Unreal Engine

AWS

GCP

Azure

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 experience that will put you in an accelerated growth, both personally and professionally.

Job 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

• 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?