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 modalities Learn from diverse data sources Incorporate conditioning signals into model behavior Improve complex temporal and spatial modeling Collaborate with data, systems, and robotics engineers Requirements:

PhD or equivalent experience in a technical field Foundation model training experience from end to end Solid PyTorch skills and distributed training experience Independent machine learning experiment design and analysis Evaluation development informing research decisions Use multimodal learning, sequence modeling, and distributed PyTorch training to develop reliable Physical AI capabilities at Veeda AI.

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