Lead Generative AI Engineer (Diffusion Models, 3D, VLM) Job at Edensign, Boston, MA

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  • Edensign
  • Boston, MA

Job Description

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 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

  • 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
  • Familiarity with node-based generative tools (e.g., ComfyUI ) is a plus
  • Experience with VLMs, multimodal models, grounding, or spatial reasoning is highly valuable
  • Proficiency in Python and modern ML frameworks
  • Hands-on experience with distributed training, GPU optimization, and large-scale experiment management
  • Ability to work independently and lead technical direction in a fast-paced startup environment
  • Strong analytical, problem-solving, and system design skills
  • Excellent communication and collaboration skills
  • 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

Job Tags

Full time,

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