AI Research Engineer - Gaming Intelligence

VERTEX GAMES PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading company in casual gaming seeks an AI Research Lead to explore innovative AI techniques and develop advanced algorithms. This role involves collaborating with international teams to enhance gaming experiences while pushing the boundaries of technology. Candidates with strong AI/ML backgrounds are encouraged to apply, even without direct gaming experience.

Qualifications

• 3+ years relevant experience in AI/ML research or advanced algorithm development.
• Deep experience with large language models and generative AI.

Responsibilities

• Research and develop novel AI algorithms for casual gaming.
• Collaborate with teams from Beijing to identify and solve gaming challenges.

Skills

Programming in Python

Machine Learning Frameworks (PyTorch, TensorFlow)

Deep Learning

Statistical Analysis

Research Mindset

AI Trends Adaptation

Education

Postgraduate degree in AI, Machine Learning, Computer Science, or related field

Job description

About This Role

Lead AI research initiatives that push the boundaries of artificial intelligence applications in casual gaming. Working with our Singapore technology team, you’ll explore cutting-edge AI techniques and develop novel algorithms that give our Beijing R&D center competitive advantages in Match-3 and Bingo categories while pioneering new casual gaming experiences.

What You’ll Research & Develop

• Advanced AI Algorithms: Novel machine learning approaches for game content generation, player modeling, and game optimization
• Player Intelligence Systems: Deep learning models for understanding player behavior patterns and predicting engagement
• Content Generation Research: Cutting-edge generative AI techniques for automated game asset and level creation
• Game AI Innovation: Research into AI-driven game mechanics, dynamic difficulty adjustment, and personalized gameplay

Key Responsibilities

• Research and develop novel AI algorithms specifically for casual gaming applications
• Design and implement advanced machine learning models for player behavior analysis and content generation
• Explore state-of-the-art AI techniques including large language models, diffusion models, and reinforcement learning
• Collaborate with Beijing game design teams to identify AI research opportunities that solve real gaming challenges
• Prototype and validate AI concepts through experimentation and data analysis
• Stay current with AI research literature and translate academic breakthroughs into practical gaming applications

Required Qualifications

• Experience: 3+ years of relevant working experience in AI/ML research or advanced algorithm development
• Technical Skills:

1. Expert-level programming skills in Python
2. Deep experience with machine learning frameworks (PyTorch, TensorFlow)
3. Strong understanding of deep learning architectures and training techniques
4. Experience with Large Language Models (LLMs), generative AI, or computer vision
5. Knowledge of statistical analysis and experimental design

• Research Mindset: Ability to formulate research questions, design experiments, and interpret results
• AI Expertise: Deep understanding of current AI trends and ability to adapt cutting-edge research to gaming contexts

Preferred Qualifications

• Postgraduate degree (Master’s/PhD) in AI, Machine Learning, Computer Science, or related field
• Publications in AI/ML conferences or journals
• Experience with reinforcement learning, generative adversarial networks, or transformer architectures
• Background in game AI, procedural content generation, or player modeling
• Experience with distributed training and large-scale ML systems
• Fluent in both English and Chinese to liaise with teams in the Beijing R&D center, with strong cross-cultural communication skills

Application Requirements

• Resume highlighting relevant experience
• Cover Letter explaining interest in casual gaming and global market expansion
• Portfolio/GitHub showcasing relevant technical projects
• References from previous technical roles
• Please include any research publications, technical blog posts, or open-source contributions.

We welcome candidates from diverse backgrounds who are passionate about gaming technology, even if you do not have direct experience in the gaming industry. We value potential and the ability to learn just as much as existing industry experience.