MiAO Worlds is an innovative company specializing in the gaming industry, dedicated to crafting immersive and captivating gaming experiences. Our mission is to revolutionise the way players interact with digital content through advanced artificial intelligence and state-of-the-art content generation technologies. We focus on creating dynamic, interactive worlds that enhance storytelling and player engagement, making every game an unforgettable journey. With a passionate team of experts in game design, development, and technology, we are at the forefront of shaping the future of gaming. Join us as we build the next generation of gaming experiences and bring your creativity to a vibrant environment where your ideas can thrive and transform the gaming landscape!

Key Responsibilities

AI and Gaming Research

• Participate in large language model application delivery, and first-authored publications at leading workshops, conferences, or journals.
• Research on AI in game industry production pipelines.

Agent Development

• Assist in the design, development, and testing of advanced AIGC algorithms to generate compelling and high-quality content. Particularly in optimizing model preference alignment with the specific needs of the modern game industry formal logic abstraction.
• Research and implement state-of-the-art machine learning techniques to improve algorithm performance and efficiency.
• Ideate, develop and compare the performance of agent architectures to maximize model performance or case of use on agentic tasks.

Dataset Engineering

• Design and implement subtle prompting strategies and data pipelines, identify and fix edge case behaviors through testing of data generation pipelines.
• Implement data augmentation strategies and manage data pipelines to ensure high-quality data flow.
• Develop evaluations of model behaviors across judgement-based domains.

Model Deployment

• Support the deployment of AI models into production environments, helping to ensure their scalability and reliability.

Requirements

• Education: Has a Bachelor's or Master’s degree in Computer science, AI or similar fields.
• Minimum 2-3 years of experience in AI/ML software development.
• Technical Skills:

a. Basic proficiency in programming languages such as Python, Java, C++, or Rust.

b. Understanding of AI concepts, particularly LLMs and their APIs (e.g. OpenAI API, Anthropic API).

c. Familiarity with machine learning technology stacks, including core technologies such as PyTorch, LLMs, multimodal systems, Agent systems, and RAG.

d. Problem-solving and analytical mindset: Ability to analyze complex problems, break them down into manageable components, and contribute to the development of innovative machine learning solutions.

e. Strong mathematical and analytical skills are a plus.