Build multimodal foundation models for Physical AI at Veeda AI using visual learning, spatial modeling, and hands-on PyTorch expertise.This Member of Technical Staff role focuses on developing models across visual and spatial modalities. You will learn from diverse data sources, incorporate conditioning signals, and strengthen temporal and spatial structure. Collaboration with data, systems, and robotics engineers will translate research ideas into reliable capabilities.Key Responsibilities:

Scale models across visual and spatial modalitiesLearn from diverse data sourcesIncorporate conditioning signals into model behaviorImprove complex temporal and spatial modelingCollaborate with data, systems, and robotics engineersRequirements:

PhD or equivalent experience in a technical fieldFoundation model training experience from end to endStrong PyTorch skills and distributed training experienceIndependent machine learning experiment design and analysisEvaluation development informing research decisionsUse multimodal learning, sequence modeling, and distributed PyTorch training to develop reliable Physical AI capabilities at Veeda AI.

📌 Multimodal Foundation Model Engineer (Winnipeg)
🏢 Veeda
📍 Winnipeg