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Member of Technical Staff - World Models

Veeda, Toronto +2

Posted pay

Pay not posted

Location: Toronto +2
Work type: Hybrid
Level: Not given
Skills in the job text: PyTorch
Posted: Sep 7, 2026
Last check: 9 h ago
Job type: Inference & ML systems, ML / AI engineering

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Veeda

About Veeda: funding, hiring and pay

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What you will do

Model Research & Development: Design, train, and scale generative and predictive models across visual and spatial modalities.

Multimodal Learning & Control: Develop methods for learning from diverse data sources and incorporating conditioning signals into model behavior.

Sequence Modeling: Improve consistency, robustness, and generalization in models of complex temporal and spatial structure.

Post-Training & Efficiency: Explore post-training and model optimization techniques to improve quality, controllability, and computational efficiency.

Evaluation & Experimentation: Develop rigorous evaluations, conduct controlled experiments, and use findings to guide modeling and data decisions.

Research Collaboration: Work closely with data, systems, and robotics engineers to translate research ideas into reliable capabilities.

What you need

PhD degree in Computer Science, Engineering, or a related technical field, or equivalent experience.
Experience training machine learning foundation models end to end, with strong PyTorch skills and hands-on experience in distributed training.
Ability to independently design, execute, and analyze machine learning experiments, from hypothesis through ablation to conclusion.
Experience developing evaluations that reveal model limitations and inform research decisions.

Nice to have

Strong publication record or substantial contributions to research on image, video, 3D, or multimodal models.
Experience with learned representations, compression, or tokenization for high-dimensional data.
Experience with conditional generation, temporal consistency, or long-context modeling.
Experience with reinforcement learning, model-based learning, or embodied AI.
Experience with post-training, distillation, or efficient inference for generative models.
Experience working with large-scale, heterogeneous visual or sensor datasets.
Contributions to open-source machine learning projects or research infrastructure.

About Veeda

Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from leading AI labs, tackling some of the most challenging problems at the intersection of AI, robotics, and embodied intelligence. If you're excited about pushing the boundaries of what's possible with Physical AI, you'll have the opportunity to make an outsized impact from day one.

Read the job posting on the Veeda site

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Source: the Veeda Ashby job board. We last checked this job 9 h ago. We first saw it 4 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.

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