Advance multimodal foundation world models at Veeda AI through generative modeling, Py Torch, and distributed training. Work on Physical AI research.
As a Member of Technical Staff, you will design and scale predictive models across visual and spatial modalities. You will develop multimodal learning methods, improve sequence modeling, and explore post-training techniques. Your experiments and evaluations will guide modeling and data decisions.
Key Responsibilities: Design and train generative and predictive models
Develop multimodal learning and conditioning methods
Improve consistency, robustness, and generalization
Explore post-training and model optimization techniques
Conduct evaluations and controlled experiments
Requirements: Ph D in Computer Science, Engineering, or related field
Experience training machine learning foundation models end to end
Robust Py Torch and distributed training experience
Ability to design and analyze machine learning experiments
Experience developing evaluations revealing model limitations
Apply research expertise in Py Torch, sequence modeling, and evaluation to Veeda AI's multimodal Physical AI world models.

📌 World model research scientist (Toronto)
🏢 Veeda
📍 Toronto