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

Company Description

Edensign is building the future of AI-powered visual and spatial design. 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.

Contact Email : hello@edensign.io

Role Description

Full-time | Preference for Boston or New York–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.

Key Responsibilities

• 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
• Lead research experiments, benchmarking, and exploration of new modeling techniques
• 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
• Contribute to Edensign’s long-term technical roadmap and innovation direction

Qualifications