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 modelsDevelop multimodal learning and conditioning methodsImprove consistency, robustness, and generalizationExplore post-training and model optimization techniquesConduct evaluations and controlled experimentsRequirements: Ph D in Computer Science, Engineering, or related fieldExperience training machine learning foundation models end to endStrong Py Torch and distributed training experienceAbility to design and analyze machine learning experimentsExperience developing evaluations revealing model limitationsApply research expertise in Py Torch, sequence modeling, and evaluation to Veeda AI's multimodal Physical AI world models.#J-18808-Ljbffr

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