Member of Technical Staff, 3D Reconstruction

Odyssey is pioneering the next frontier of artificial intelligence: generative worlds. By learning from the real-world, they’re training a new kind of visual generative model capable of generating cinematic worlds that you can direct—from scenery and characters to lighting and motion. Odyssey’s mission is to reinvent film, gaming, and more.


Odyssey was founded in late 2023 by Oliver Cameron (Cruise, Voyage) and Jeff Hawke (Wayve, Oxford AI PhD), two veterans of self-driving cars and AI. They’ve since recruited a world-class team of ML researchers from Cruise, Waymo, Wayve, Tesla, Microsoft, Meta, and NVIDIA; lead computer graphics researchers from EA, Ubisoft, and Valve; and technical artists behind Hollywood blockbusters like Dune, Godzilla, Avengers, and Jurassic World.


Odyssey has raised venture capital from GV, EQT Ventures, Air Street Capital, DCVC, Elad Gil, Garry Tan, Soleio, Jeff Dean, Kyle Vogt, Qasar Younis, Guillermo Rauch, Soumith Chintala, and researchers from OpenAI, DeepMind, Meta, Midjourney, and Pixar.

Who You Are

  • You're a Staff Engineer or similar with experience in technical topics related to scene reconstruction.
  • You have experience in classical visual geometry algorithms, such as visual SLAM, Structure from Motion, etc.
  • You have experience with gaussian splats, NeRFs, or other modern reconstruction algorithms.
  • You have experience bringing state-of-the-art research to workloads running in production infrastructure (though not developing the infrastructure itself).

What You'll Do

  • You are responsible for the large-scale algorithmic extraction of data used for training ML models applied to 3D graphics.
  • You will seamlessly integrate algorithmic workloads within production data infrastructure.
  • You will partner closely with our Generative ML engineers to figure out what types of algorithmically extracted data will unlock more advanced capabilities in our ML models.

Engineering

London, United Kingdom

Santa Clara, CA

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