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 to hire a Research Scientist that is interested in applying diffusion to solve cutting edge neural reconstructions, developing and applying computer vision and Gen AI models to enhance the quality and efficiency of our 3D reconstruction pipeline.
What they're looking for
- Strong mathematical and statistical background with deep insights into machine learning algorithms
- Expert in generative AI algorithms (Diffusion, GAN, VAE, Flow-based models, etc.)
- Proficient in using open-source deep learning frameworks like TensorFlow/PyTorch
- Experience in model training and performance optimization
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 to hire a Research Scientist that is interested in applying diffusion to solve cutting edge neural reconstructions, developing and applying computer vision and Gen AI models to enhance the quality and efficiency of our 3D reconstruction pipeline.
- Strong mathematical and statistical background with deep insights into machine learning algorithms.
- Expert in generative AI algorithms (Diffusion, GAN, VAE, Flow-based models, etc.).
- Proficient in using open-source deep learning frameworks like TensorFlow/PyTorch.
- Experience in model training and performance optimization.
- 3+ years of practical work experience in AI, with hands-on development experience.
- Experience of multimodal training such as 3D, video generation, or computer vision methods.
- Contributions to popular open-source machine learning projects.
- Publications in top-tier...
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