Lead Generative AI Engineer (Diffusion Models, 3D, VLM)

Company Description Edensign is building the future of AI-powered visual and spatial engine. Backed by the Harvard Innovation Labs, we’re creating next-generation intelligent systems that merge generative AI, 3D understanding, and spatial intelligence to transform how real-world spaces are visualized, staged, and experienced.

Apply promptly! A high volume of applicants is expected for the role as detailed below, do not wait to send your CV.

Full-time | Preference for Boston based candidates We’re looking for a senior technical leader to drive the development of our core AI engine. The ideal candidate has deep experience training large generative models , including diffusion, 3D reconstruction networks, multimodal, VLM architectures. In this role, you will spearhead model training pipelines, R&D experiments, data strategy, and foundational architecture decisions. This is an opportunity to help build the next generation of spatial AI - from multi-view consistency to 2D-to-3D-to-2D transformation and advanced scene understanding. Design, train, and optimize cutting-edge generative models, including diffusion, 3D reconstruction, and multimodal/VLM architectures Build and manage scalable training pipelines, data curation workflows, and experiment tracking Architect the evolution of our spatial AI stack—from prototyping new ideas to deploying production-ready models Collaborate with engineering and product teams to integrate AI capabilities seamlessly into real-world workflows Make strategic decisions around infrastructure, GPU utilization, model efficiency, and training optimization Strong expertise in training generative models (diffusion, GANs, 3D generative models, xsgimln or scene-reconstruction networks) Deep background in Computer Vision , Computer Graphics , 3D geometry , NeRF-like architectures , or multi-view learning Proficiency in Python and modern ML frameworks Hands-on experience with distributed training, GPU optimization, and large-scale experiment management Master’s or PhD in Computer Science, AI/ML, Computer Vision, or a related field Experience in real estate, architecture, spatial design, or spatial computing is a bonus Proficiency in Mandarin is preferred