Software Development Engineer II - Computer Vision
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The role
Work on computer vision and AI techniques to extract geospatial objects and detect changes from 360-degree imagery, video, LiDAR, and oriented imagery.
Adapt and leverage state-of-the-art CV models (YOLO, SAM, DINO) for GIS workflows.
Design, develop, and scale software pipelines that process large geospatial datasets with performance and reliability in mind.
Integrate and optimize Computer Vision and ML models into production environments using Python, with production-friendly C# and C++ support.
Evaluate new AI/ML methods and frameworks relevant to GIS, CV, and large language models; contribute to architecture, testing, and code reviews.
Collaborate with researchers and product engineers in an Agile team to bridge research and production-ready solutions and grow your expertise.
Adapt and leverage state-of-the-art CV models (YOLO, SAM, DINO) for GIS workflows.
Design, develop, and scale software pipelines that process large geospatial datasets with performance and reliability in mind.
Integrate and optimize Computer Vision and ML models into production environments using Python, with production-friendly C# and C++ support.
Evaluate new AI/ML methods and frameworks relevant to GIS, CV, and large language models; contribute to architecture, testing, and code reviews.
Collaborate with researchers and product engineers in an Agile team to bridge research and production-ready solutions and grow your expertise.
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