AI Engineer - PyTorch, Unreal Engine, Reinforcement Learning

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Requirements:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 7+ years of experience in software development, with at least 3+ years specializing in AI and machine learning.
• Demonstrated expertise in PyTorch, with a proven track record in reinforcement learning for developing adaptive AI systems.
• Hands-on experience with Unreal Engine, particularly in designing and training AI systems using reinforcement learning.
• Strong programming skills in Python and C++.
• Solid understanding of neural network architectures, optimization techniques, and model training processes.
• Familiarity with real-time systems, 3D simulations, and spatial reasoning.
• Knowledge of debugging tools, version control systems (e.g., Git), and Agile workflows.

Responsibilities:

• Develop AI Systems: Design and implement machine learning models using PyTorch, with a focus on reinforcement learning to create adaptive, intelligent agents.
• Unreal Engine Integration: Utilize Unreal Engine's capabilities and integrate AI models into Unreal Engine environments, ensuring seamless interaction and realistic behavior.
• Collaborate Across Teams: Work closely with game designers, developers, and data scientists to align AI development with game objectives.
• Optimize Performance: Ensure AI models and systems are optimized for real-time applications, maintaining low latency and high scalability.
• Research & Innovate: Stay at the forefront of AI advancements, applying the latest techniques to enhance gameplay.
• Debug & Maintain: Troubleshoot and resolve AI-related issues during development and testing to ensure system stability and reliability.