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.
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, 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