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AI Neural Radiance Field Engineer

Hannah Cohen

Full-time · Job · Los_Angeles

About the role

Neural radiance fields changed what's possible in 3D reconstruction — but the original NeRF pipeline takes 12 hours to train and another 2 to render a single frame. If you want NeRF-quality scene reconstruction in a real-time product, you need to make it 1000x faster without sacrificing visual quality. We've been working on this problem for two years, and we're close. Our approach combines hash-based feature grids with a distillation pipeline that transfers quality from a high-fidelity NeRF to a real-time baked representation. The result trains in under 10 minutes and renders at 60fps on a mobile GPU. What's missing is robustness: the system degrades on scenes with reflective surfaces, fast motion, or sparse camera coverage. You'll join a research engineering team of three tackling these failure modes. Your work will ship in our photogrammetry SaaS used by 800 architecture firms and real estate companies. If you've published on NeRF, Gaussian splatting, or 3D scene representation, we want to hear from you.

Responsibilities

  • Improve NeRF robustness for reflective surfaces, motion blur, and sparse-view inputs
  • Optimize training speed and memory footprint for mobile GPU deployment
  • Implement and evaluate recent scene representation methods like Gaussian splatting
  • Build evaluation benchmarks comparing reconstruction quality across scene types
  • Collaborate with product team to translate research into user-facing quality guarantees
  • Write technical reports on methods and results for partner communications

Requirements

  • 5+ years in 3D computer vision or neural rendering
  • Deep familiarity with NeRF, Gaussian splatting, or related scene representation methods
  • Strong PyTorch skills and GPU programming knowledge
  • Publications or significant open-source contributions in 3D vision preferred
  • Experience shipping research into production products

Benefits

  • Fully remote
  • Research conference and publication budget
  • Top-of-market compensation
  • Health, dental, and vision
  • Stock options with 4-year vesting

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Categories

AI & Machine Learning Engineers data science & analytics

Skills

python pytorch computer vision docker gcp

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