• Conduct applied research and experimentation on state-of-the-art diffusion model architectures and training techniques. • Implement and evaluate novel techniques for improving quality and controllability in generated designs. • Analyze and interpret experimental results, draw meaningful conclusions, and communicate findings effectively. • Collaborate closely with the team to translate prototypes into production-ready systems. • Stay abreast of the latest advancements in diffusion models, deep learning, and generative AI research.