3D Generative AI Researcher

Job Description:

• Reproduce algorithms from the latest top-tier conference papers, debug models, and conduct extensive training and testing.
  
  
• Analyze limitations of existing models, propose improvement strategies, and design novel algorithms to enhance generation quality.
  
  
• Collect, clean, annotate, or generate large-scale 3D datasets for model training.
  Discuss technical solutions with team members, document experimental findings, and participate in code reviews.
  
  

Requirements:

• Minimum Qualifications: Ph.D. in Computer Science or a related field, with a background in computer graphics, computer vision, or machine learning, and a focus on 3D generative AI.
  
  
• Experience in training large-scale 3D models and data processing.
  
  
• Proficient in Python, familiar with theoretical principles and implementation of Diffusion algorithms, 3D model representation, 3D content generation, and related technologies.
  
  Stay updated on the latest advancements in the field.
  
  
• Passionate about technology, clear-thinking, strong problem-solving and analytical skills, excellent communication abilities, and a collaborative mindset.