Advance multimodal foundation world models at Veeda AI through generative modeling, PyTorch, 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:

PhD in Computer Science, Engineering, or related field Experience training machine learning foundation models end to end Robust PyTorch and distributed training experience Ability to design and analyze machine learning experiments Experience developing evaluations revealing model limitations Apply research expertise in PyTorch, sequence modeling, and evaluation to Veeda AI's multimodal Physical AI world models.

📌 World Model Research Scientist (Toronto)
🏢 Veeda
📍 Toronto