Research Engineer- Digital Human Research
- Entreprise
- Epic Games Commerce GmbH, Zweigniederlassung Zürich
- Lieu
- Zürich
- Date
- 14.06.2026
- Référence
- 311989
Role Overview
The Digital Human Research team at Epic Games is in search of an experienced research engineer who excels in 3D garment creation. This role is designed for someone with a deep passion for digital humans and clothing, supported by a background in computer graphics, computer vision, geometry processing, and machine learning.
Key Responsibilities
- Contribute to the Digital Human Research team by developing and validating new technologies aimed at enhancing real-time digital humans and characters.
- Collaborate directly with researchers, artists, and engineers to gain a comprehensive understanding of the character creation process, from scanning and performance capture to animation and rendering.
- Innovate and implement novel Deep Learning-based architectures and algorithms addressing challenges in human motion, appearance, and behavior comprehension, as well as emulation in 3D characters.
- Identify inefficiencies within current processes and tools, proposing new techniques to enhance the realism of the art team’s work through automation.
- Engage in research and development of generative methods for modeling and animating digital humans.
- Stay up-to-date with the latest advancements in digital character technologies.
Qualifications
- Exceptional problem-solving abilities with capacity to work independently.
- Experience in 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, autonomous agents.
- Computer Vision: 3D reconstruction and modeling, material reflectance capture and modeling, face and body detection and tracking.
Additional responsibilities may be assigned in alignment with the nature of the position and the organization’s needs.