Research Scientist

Your Responsibilities:

• Design, train, and refine large-scale 3D generative models from covering pre-training, post-training, and emerging paradigms.
• Bridge the gap between cutting-edge research and product, deploy models in real products used by millions of creators, using human feedback and creative evaluation.
• Create novel model architectures to make 3D generation faster, higher-quality, and more controllable.

Required Skills:

• Strong engineering skills in Python and deep learning frameworks (preferably PyTorch); comfortable moving between research prototypes and production systems.
• Familiar with Transformers and modern generative AI models (Diffusion / flow matching, VAE, etc.).
• Curiosity and passion for multi-modal AI, and have an intuitive understanding of how models perceive, represent, and generate 3D worlds.

Work Environment:

• Communicate information and ideas so others will understand.
• Observe details at close range.
• Work under deadlines.

Interview Process:

• You will first be contacted by our recruiter.
• Soon afterwards, you will receive an online assessment on some theory questions and some simple numpy coding questions.
• We will then schedule a 45 minutes - 2 hr interview slot for a technical coding round.