Edensign
Lead Generative AI Engineer (3D, VLM & Diffusion Models)
Edensign, Boston, Massachusetts, us, 02298
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
Strong expertise in training generative models (diffusion, GANs, 3D generative models, or scene‑reconstruction networks)
Deep background in Computer Vision, 3D geometry, NeRF‑like architectures, or multi‑view learning
Experience with VLMs, multimodal models, grounding, or spatial reasoning is highly valuable
Proficiency in Python and modern ML frameworks (PyTorch preferred)
Hands‑on experience with distributed training, GPU optimization, and large‑scale experiment management
Familiarity with node‑based generative tools (e.g., ComfyUI) is a plus
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, Robotics, or a related field
Experience in real estate, architecture, spatial design, or spatial computing is a bonus
#J-18808-Ljbffr
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
Strong expertise in training generative models (diffusion, GANs, 3D generative models, or scene‑reconstruction networks)
Deep background in Computer Vision, 3D geometry, NeRF‑like architectures, or multi‑view learning
Experience with VLMs, multimodal models, grounding, or spatial reasoning is highly valuable
Proficiency in Python and modern ML frameworks (PyTorch preferred)
Hands‑on experience with distributed training, GPU optimization, and large‑scale experiment management
Familiarity with node‑based generative tools (e.g., ComfyUI) is a plus
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, Robotics, or a related field
Experience in real estate, architecture, spatial design, or spatial computing is a bonus
#J-18808-Ljbffr