Senior Computer Vision Engineer (AI Spatial Intelligence)

mobsquad • Canada

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AI Summary

Lead the development of cutting-edge computer vision pipelines for an AI system leveraging 4D spatial intelligence. Build and optimize deep learning models (e.g., Mask2Former, ViT) for aerial/oblique imagery, deploy scalable ML infrastructure, and drive research in segmentation, generative modeling, and few-shot learning. Requires advanced degree, 5+ years in deep learning, and hands-on experience with large foundation models.

Key Highlights

Develop state-of-the-art computer vision pipelines for AI spatial intelligence applications

Build and optimize deep learning models (e.g., Mask2Former, SAM, ViT) for aerial/oblique imagery

Collaborate on model deployment, inference optimization, and large-scale deep learning experiments

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Key Responsibilities

Design and implement components of a 4D spatial intelligence computer vision pipeline

Develop and refine advanced CV models (e.g., Mask2Former, SAM, ViT, Swin) for aerial/oblique imagery

Conduct large-scale deep learning experiments and optimize inference pipelines

Collaborate with data scientists and engineers to deploy and maintain scalable ML infrastructure

Read, reproduce, and adapt cutting-edge research from top-tier conferences (CVPR, NeurIPS)

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Technical Skills Required

Python Deep Learning Frameworks (TensorFlow/Keras) Computer Vision (Segmentation/Detection Models)

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Benefits & Perks

Competitive compensation

Expedited work permit sponsorship for international candidates

Flexible benefits package (health, wellness, RRSP)

Job Description

We are a well-funded, hyper-growth, company looking for an experienced Computer Vision Engineer. If you've ever dreamed of working with a top tier technology company backed by the very best venture capitalists in the world, then this is your chance.Some details about MobSquad:

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