AI Research Scientist (Generative Models Lead)

Your role

Advanced Generative Model R&D:

• Research and prototype cutting-edge generative model architectures (diffusion models, GANs, transformers) to produce high-quality Urban, architectural and interior design images from text prompts.
• Design and train the core network from scratch, innovating techniques to achieve photorealism, style accuracy, and structural consistency specific to urban design, buildings, and rooms.

Training & Optimization:

• Implement and fine-tune the model architecture and training algorithms (data augmentation, loss functions, etc.), iterating rapidly to improve output quality.
• Explore novel features such as spatial layout preservation, material texture fidelity, and structured outputs that can be used downstream.
• Evaluate model performance with appropriate metrics (FID, CLIP-score, precision/recall, custom architecture-specific scores).

Collaboration & Mentorship:

• Work closely with the Data/ML Engineer to debug issues and optimize training pipelines.
• Provide guidance on ML best practices, experimental design, and analysis; mentor junior engineers or contributors on complex model behavior.

Innovation & Research:

• Stay at the forefront of generative modeling research, propose new architectures or training approaches, and prototype novel applications for the design industry.