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About the Role

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

Design, train, and scale action-conditioned video and latent dynamics models.
Condition rollouts on robot action chunks and camera trajectories, and recover pseudo-actions from unlabeled video.
Train on the model's own rollouts and carry persistent scene state as 3D Gaussians or point maps to maintain coherence in long-horizon rollouts.
Fine-tune against physics-grounded reward models and verifiers, then distill to few-step samplers for interactive agent action.
Build evaluation for action-following, physical plausibility, and long-horizon drift, scored against simulator ground truth and policy transfer to a robot.

Requirements

Bachelor's degree or equivalent hands-on experience in Computer Science, Engineering, or a related technical field.
Experience training generative or predictive sequence models end to end at multi-node scale.
Fluency in PyTorch from prototype to production-scale training.
Ability to independently design, execute, and analyze machine learning experiments.
Working command of diffusion and flow matching, long-context sequence modeling, and understanding of their practical limits.
Serious approach to evaluation and experience building metrics that influenced modeling decisions.

Skills

Diffusion transformers with rectified flow
Block-causal autoregressive hybrids
Causal video tokenizers
Inverse dynamics and latent action models
Diffusion forcing, self-forcing
3D Gaussians
Point maps
Physics-grounded reward models
Verifiers
Few-step samplers
Action-following evaluation
Physical plausibility evaluation
Long-horizon drift evaluation
Generative models for image, video, or 3D content
Video tokenizers or VAEs
Action-conditioned or interactive world models
Model-based reinforcement learning or planning in a learned latent space
Streaming or causal video generation with KV caching and rolling context
Real robot trajectory data
Noisy action labels
Open-source generative model projects or related infrastructure

Education Level

Bachelor's degree or equivalent hands-on experience in Computer Science, Engineering, or a related technical field.

About the Company

Veeda AI is building the next generation of multimodal foundation world models for Physical AI.
Small, fast-moving team of engineers and researchers from leading AI labs.
Tackling challenging problems at the intersection of AI, robotics, and embodied intelligence.