Responsibilities:

• Develop and optimise simulation engine internals for improved performance and functionality.
• Develop artificial intelligence systems and agent based simulations that interact, adapt and learn from player behaviours to create engaging and dynamic gameplay experiences.
• Research, develop and optimise neural network model architectures for specific use cases.
• Collaborate with cross-functional teams to ensure project success and timely delivery of results.
• Maintain a high level of professionalism and confidentiality.
  
  Requirements:
• At least two years of professional experience is preferred, fresh graduates or those equivalently skilled should be able to demonstrate examples of relevant projects and interests.
• Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Electrical Engineering, Mechanical Engineering, Physics, or a related field.
• Strong foundation in mathematics, particularly linear algebra and partial differential equations, as applied to deep learning training
• Proficiency in Python; experience with C++ is a plus
  
  Interest or experience in any of the following areas:
• Machine learning models
• Agent based simulation
• Physics-informed training
• Generative AI such as Transformer, Diffusion, GAN, etc.
• Reinforcement learning
• Working English proficiency communication skills, both written and verbal