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Chief Research Scientist

Stealth

San Francisco (CA)

Remote

USD 150,000 - 200,000

Full time

Today
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Job summary

A cutting-edge AI company is seeking a Chief Research Scientist to lead research in converting images and videos into dynamic 3D environments. This remote role demands a PhD background and deep expertise in 3D reconstruction and diffusion models. The candidate will oversee the design of novel architectures and define the research roadmap, mentoring an exceptional technical team. This position offers the chance to be at the forefront of generative AI technology.

Qualifications

  • PhD or equivalent experience in ML, Computer Vision, or related field.
  • Deep background in 3D reconstruction or generation.
  • Expertise in diffusion models.

Responsibilities

  • Lead research in hyper-realistic 3D environment generation.
  • Design diffusion architectures for 3D scene synthesis.
  • Oversee experiments in reconstruction and simulation data.

Skills

3D reconstruction
diffusion modeling
neural rendering
multi-view 3D representations

Education

PhD in ML, Computer Vision, Graphics
Job description
Overview

Chief Research Scientist — Image & Video to 3D (Stealth Generative AI Startup)

Remote

Focus: Image-to-3D • Video-to-3D • Diffusion Models • World Generation

We’re a stealth-stage generative AI company creating 3D world environments at scale.

Our systems transform images and videos into dynamic 3D scenes, enabling the automatic generation of vast, realistic environments used for AI training, simulation, and content creation.

We’re looking for a Chief Research Scientist to lead research in 3D reconstruction and generation, with deep expertise in diffusion modeling and multi-view or neural field representations.

What You’ll Do

  • Lead our research efforts in the generation of hyper-realistic 3D world environments (image-to-3D and video-to-3D generation)
  • Design novel diffusion architectures for large-scale 3D scene synthesis
  • Oversee experiments in world-scale reconstruction and simulation data generation
  • Define the company’s research roadmap and mentor an exceptional technical team

What We’re Looking For

  • PhD (or equivalent experience) in ML, Computer Vision, Graphics, or related field
  • Deep background in 3D reconstruction, generation, or neural rendering
  • Expertise in diffusion models and multi-view 3D representations (e.g. NeRFs, Gaussian splatting, etc)
  • Proven ability in leading frontier 3D research (academic or commercial)
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