Internship - Veeda AI Scientist

Veeda AI; California (MO); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Job summary

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 tackling challenging problems at the intersection of AI, robotics, and embodied intelligence.

This role emphasizes product‑driven research, advancing image, video, and 3D generation architectures, and designing core models that power cross‑modal creation pipelines.

Qualifications

• Bachelor's degree in CS/Engineering or equivalent hands‑on experience.
• Solid understanding of ML fundamentals and modern deep learning methods.

Responsibilities

• Drive product‑driven research on generative world models.
• Design, train, and iterate on foundation models across image, video, and 3D modalities.
• Develop RLHF, DPO, reward modeling, and alignment techniques.
• Build and refine large‑scale data pipelines for ML training data.

Skills

Machine learning basics

Deep learning

Optimization

Model architectures

Education

Bachelor's degree or equivalent in Computer Science/Engineering

Tools

Data pipelines

Job description

About US

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.

Responsibilities

• Product-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.

Requirements

• 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.

Nice to Have

• 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.