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.

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