Third Dimension is building spatial generation to power tomorrow's embodied AI and enable new frontiers of creativity in gaming and entertainment. Backed by Felicis.
About the role
We're looking for a research engineer interesting in solving the structure from motion problem, arguably the most challenging part of any 3D reconstruction pipeline.
What they're looking for
- Strong mathematical and statistical background with deep insights into machine learning algorithms
- Expert in Structure from Motion
- Expert in SLAM, state estimation
- 3+ years of practical work experience in computer vision, with hands-on development experience
More about this role
Third Dimension is building SuperSim, a new kind of simulator which can enable fast, cost-effective and photorealistic 3D simulations directly from source data using AI. We are working with customers across multiple industries, including autonomous vehicles, drones, robots in industrial and manufacturing environments, and more.
We're looking for a research engineer interesting in solving the structure from motion problem, arguably the most challenging part of any 3D reconstruction pipeline.
- Strong mathematical and statistical background with deep insights into machine learning algorithms.
- Expert in Structure from Motion
- Expert in SLAM, state estimation.
- 3+ years of practical work experience in computer vision, with hands-on development experience.
- Experience in Radiance Fields (Nerf, Gaussian Splatting, etc.).
- Proficient in using open-source deep learning frameworks like TensorFlow/PyTorch.
- Experience in model training and performance optimization.
- Contributions to popular open-source machine learning projects.
- Publications in top-tier AI/ML/CV conferences.
- London, UK / Graz, Austria: This is a priority for us, as we're trying to build a presence around our...
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