Research Engineer- Digital Human Research

Join Our Innovative Team

The Digital Human Research team at Epic Games is seeking a talented individual with a strong background in 3D garment creation. This role offers the opportunity to merge a passion for digital humans and clothing with advanced expertise in computer graphics, computer vision, geometry processing, and machine learning.

Key Responsibilities

• Contribute to the Digital Human Research team by testing new technologies aimed at enhancing real-time digital humans and characters.
• Collaborate with a diverse team of researchers, artists, and engineers to gain comprehensive insights into the character creation process, from scanning and performance capture to animation and rendering.
• Develop innovative Deep Learning-based architectures and algorithms to address challenges related to human motion, appearance, and behavior understanding in 3D characters.
• Identify areas for improvement within our processes and tools, researching new techniques to automate tasks and augment the realism of the art team's output.
• Explore and develop generative methods for modeling and animating digital humans.
• Stay current with the latest research advancements in digital character technologies.

Qualifications

• Exceptional problem-solving capabilities with the ability to work independently.
• Experience with computer graphics, computer vision, and geometry processing techniques.
• Strong mathematical foundation.
• Familiarity with mathematical optimization and contemporary machine learning concepts.
• Master's or Ph.D. in computer science, electrical engineering, or a related field.
• Proficient programming skills in Python or C++.
• Experience with PyTorch or similar machine learning frameworks.

Research Focus Areas

• Digital Humans: Face and body capture, generative models, speech animation, style transfer, and performance reenactment.
• Machine Learning / AI: Inverse rendering, neural rendering, and autonomous agents.
• Computer Vision: 3D reconstruction and modeling, material reflectance capture and modeling, and face and body detection and tracking.

All employees are expected to engage in additional tasks as assigned, in accordance with the requirements of their position and the direction provided by the employer.