• Develop and own the technical roadmap for Raspberry’s creative AI tools, spanning image generation, editing, and end-to-end design workflows. • Mentor and guide a small team of ML engineers and researchers, raising the bar on experimentation, code quality, system design, and impact. • Design and evolve the systems and model orchestration in order to improve quality, controllability, and realism in generated designs. • Conduct applied research and rapid experimentation on diffusion and other generative models, adaptation techniques, and routing strategies, and bring the most effective approaches into production. • Prototype and refine end‑to‑end design workflows for designers inside Raspberry and translate them into robust, production features. • Collaborate closely with product, design, and product engineering to shape creative workflows, quality standards, and the roadmap for AI-powered features. • Evaluate and integrate new techniques, frameworks, and open-source contributions to stay on the frontier of generative AI research. • Design and maintain pragmatic evaluation loops that combine automated metrics, LLM-assisted review, human feedback, and high-quality golden datasets. • Serve as a thought leader on AI innovation within Raspberry and across the broader industry.