AI Engineer - PyTorch, Unreal Engine, Reinforcement Learning - Remote

Overview

We are seeking a talented AI Engineer with expertise in PyTorch, Unreal Engine, and advanced machine learning techniques, including reinforcement learning. In this role, you will develop intelligent, adaptive AI systems that elevate the interactivity and realism of our games. Collaborating with a world-class team, you will design and implement state-of-the-art AI agents capable of learning and evolving within complex virtual environments.

In Short

• 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 Engines’ and integrate AI models into Unreal Engine environments, ensuring seamless interaction and realistic behavior.
• Leverage Unreal Engine's Capabilities: Utilize Unreal Engine's Learning Agents Introduction and Neural Network Engine (NNE) to implement and optimize AI systems.
• 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.
  

Requirements

• Proven experience in AI development, particularly with reinforcement learning.
• Strong proficiency in PyTorch and Unreal Engine.
• Experience with machine learning algorithms and techniques.
• Ability to work collaboratively in a team environment.
• Strong problem-solving skills and attention to detail.
• Passion for gaming and AI technologies.

Benefits

• Opportunity to work on cutting-edge AI technologies.
• Collaborative and innovative work environment.
• Competitive salary and benefits package.
• Flexible working hours.
• Professional development opportunities.