Global RL & Generative AI Scientist for Games

Razer; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Razer in Singapore is seeking an AI researcher to push the boundaries of reinforcement learning and generative AI for gaming. You’ll work with a global team to design agents, integrate AI models into game development, and build tools that empower developers across continents.

Requirements include a Master’s or PhD in CS/AI and 1+ years of AI experience, strong Python skills, and PyTorch or TensorFlow. Unity or Unreal knowledge is a plus; travel is limited to conferences and collaborations.

Qualifications

• Master's or PhD in CS/AI or related field.
• 1+ years of AI research or applied ML experience, preferably in gaming.
• Strong Python programming ability and deep learning framework experience.

Responsibilities

• Research, design, and implement rewards-based RL agents for testing gaming apps.
• Develop and optimize agents and RAG-based solutions for dynamic content creation.
• Collaborate with game developers, designers, and engineers to integrate AI models.
• Build and optimize AI-powered gaming tools to enhance player experiences.
• Develop and fine-tune models to improve AI in gaming applications.
• Analyze and preprocess game data to train AI models for in-game decisions.
• Stay updated on AI advancements in gaming and benchmark models.
• Assist in deployment, monitoring, and maintenance of AI models in production.
• Document findings and methodologies for internal knowledge sharing.

Skills

Reinforcement Learning

Generative AI

RAG AI

Communication skills

Problem solving

Gaming knowledge

Education

Master's or PhD in Computer Science / AI

Tools

Python

PyTorch

TensorFlow

Unity

Unreal Engine

AWS / GCP / Azure

Job description

Razer in Singapore is seeking an AI researcher to push the boundaries of reinforcement learning and generative AI for gaming. You’ll work with a global team to design agents, integrate AI models into game development, and build tools that empower developers across continents.

Requirements include a Master’s or PhD in CS/AI and 1+ years of AI experience, strong Python skills, and PyTorch or TensorFlow. Unity or Unreal knowledge is a plus; travel is limited to conferences and collaborations.