Job Overview
We are seeking a skilled 3D Generative Researcher to focus on cutting-edge algorithms for 3D generative large models, driving the design and implementation of practical technical solutions to advance our 3D generation technology stack.
Key Responsibilities
- Track and research state-of-the-art algorithms and research progress in the 3D generative large model domain
- Design, develop and implement feasible technical solutions for 3D generation-related projects
- Validate and optimize algorithm performance to ensure the practicality and effectiveness of technical solutions
Required Qualifications
- Master's/PhD in Computer Graphics, Computer Vision, Computer Science, Computer Engineering or other related fields (preferred)
- Hands-on experience in 3D large model training and large-scale 3D data processing, cleaning and preprocessing
- Proficiency in Python programming solid understanding of the theoretical derivation and code implementation of Diffusion Algorithms
- In-depth knowledge of core 3D technologies including 3D model representation and 3D model generation, with a habit of following the latest industry and academic advancements
- Strong passion for technological innovation, clear logical thinking, and excellent abilities in problem analysis and inference
- Good communication and expression skills, with a collaborative mindset and the ability to work effectively in cross-functional teams
Preferred Qualifications
- Published papers or research outputs in 3D generation, computer graphics or related top conferences/journals
- Experience with mainstream 3D generative model frameworks and tools
