Dream3D is building a new generation of 3D tools for design, animation and gaming. We’re tackling hard problems across computer graphics, AI and UI/UX design to build the future of 3D creation.
We’re a team of designs/creative technologists, and machine learning experts passionate about tool making and exploring our relationships with intelligent systems. We’re backed by great investors like SNR, Twenty Two VC, Y Combinator, and are looking to grow our founding team.
If this resonates, we want to meet you.
About Us
We’re both second-time founders -
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Tony Francis: Started Inokyo, building AI-powered retail stores (like Amazon Go). Led machine learning platform at Clubhouse.
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Justin Woodbridge: Started Bayes, a design-focused data visualization tool. Acquired by Airtable in 2021.
About the Role
We’re looking for an exceptional machine learning engineer to join our founding team. You’ll be working directly with Tony to implement state-of-the-art research papers, do your own research and when the moment is right, train foundational models.
Responsibilities:
- Develop state-of-the-art generative models for 3D content creation
- Read, implement and improve the latest papers in this field
- Rapid prototyping of ideas, approaches, methods etc.
Ideally you:
- Have 3+ years of machine learning engineering/research experience
- Track record of implementing research papers in PyTorch
- Solid understanding of state-of-the-art generative models (VAEs, GANs, Autoregressive, Diffusion, etc.)
- Solid understanding of 3D math and modern 3D graphics
- Familiar with differential rendering
- Knowledge of computer graphics fundamentals (rendering, geometry processing, etc.)
We’re big believers that small, in-person teams are the ones that create the future. We work out of our Brooklyn, New York office, but are flexible with hybrid work schedules. Ideally you are based in NYC.
Dream3D
