AI Data Scientist

Razer Inc.; Singapore; On-site; USD 60,000 - 100,000; Full time

Job summary

An innovative company is seeking a passionate AI Data Scientist to join their dynamic team in Singapore. This role offers the chance to research and develop cutting-edge AI solutions that enhance gaming experiences. You will collaborate with diverse teams to create immersive tools and optimize AI models for game applications, all while staying at the forefront of AI advancements. If you have a strong background in Reinforcement Learning and a passion for gaming, this is an exciting opportunity to make a global impact in the gaming industry.

Qualifications

• Strong background in Reinforcement Learning and Generative AI agents.
• Proficiency in Python and experience with deep learning frameworks.

Responsibilities

• Research and implement rewards-based agents using Reinforcement Learning.
• Collaborate with developers to integrate AI models into game workflows.

Skills

Reinforcement Learning (RL)

Python

Deep Learning (PyTorch/TensorFlow)

Problem-Solving

Game Mechanics Understanding

Education

Master’s or PhD in Computer Science

Experience in AI research

Tools

Unity

Unreal Engine

AWS

GCP

Azure

Job description

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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

1. Research, design, and implement rewards-based agents using Reinforcement Learning (RL) for testing gaming applications.
2. Develop and optimize agents and advanced RAG-based solutions for dynamic game content creation, adaptive player interactions, and enhanced gaming experiences.
3. Collaborate with game developers, designers, and software engineers to integrate AI models into game development workflows.
4. Build and optimize AI-powered gaming tools, enabling developers to create more immersive and dynamic player experiences.
5. Develop and fine-tune models to improve AI in gaming applications.
6. Analyze and preprocess game data, training AI models to adapt and improve in-game decision-making processes.
7. Stay updated on the latest advancements in AI for gaming, ensuring our solutions remain state-of-the-art.
8. Evaluate model performance and drift through experimentation and benchmarking, improving efficiency and scalability.
9. Assist in the deployment, monitoring, and maintenance of AI models in production environments.
10. 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.