Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from leading AI labs, tackling some of the most challenging problems at the intersection of AI, robotics, and embodied intelligence. If you're excited about pushing the boundaries of what's possible with Physical AI, you'll have the opportunity to make an outsized impact from day one.
ResponsibilitiesProduct-Driven Research: Push the frontier on generative world models.
Foundation Models: Advance image, video, and 3D generation architectures. You will design, train, and iterate on the core models that power creation pipeline across modalities.
Post-Training: Develop RLHF, DPO, reward modeling, and alignment techniques that give creators fine-grained control over aesthetics, anatomy correctness, and stylistic consistency.
Data Curation at Scale: Build and refine large-scale data pipelines — sourcing, filtering, labeling.
You have a Bachelor's degree or equivalent hands-on experience in Computer Science, Engineering, or a related technical field.
You have a solid understanding of machine learning fundamentals and modern deep learning methods — optimization, generalization, architectures, and the intuition to know when theory breaks down in practice.
You have built or maintained scalable data curation pipelines for ML training data.
You have published or contributed to research on generative models for image, video, or 3D content.
You have contributed to open-source generative model projects or related infrastructure.
Skills Required
- Bachelor's degree or equivalent hands-on experience in Computer Science, Engineering, or related technical field
- Solid understanding of machine learning fundamentals and modern deep learning methods (optimization, generalization, architectures)
What We Do
Veeda AI is a small, fast-moving team of engineers and researchers building the next generation of multimodal foundation world models for Physical AI. Its work sits at the intersection of artificial intelligence, robotics, and embodied intelligence, with engineering roles involving high-throughput image and video data pipelines. The company aims to advance intelligent systems capable of operating in and understanding the physical world.









