Computer Vision Engineer

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full-time

Posted on: 9/19/2025

Origin: • 🇺🇸 United States

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Mid-LevelSenior

AWSAzureCloudGoogle Cloud PlatformPythonPyTorchTensorflow

About the role

Design & Implement CV Models – Build computer vision systems for object detection, damage assessment, image segmentation, and measurement extraction from aerial, drone, and ground-level imagery
Advance 3D Reconstruction – Develop algorithms to generate accurate 3D models of homes and property structures using images, LiDAR, and multimodal data sources
Innovate in Real-World Applications – Create real-time or near-real-time solutions for mobile and web platforms to power field inspections
Leverage Multimodal Data – Integrate data from RGB imagery, aerial/satellite sources, and LiDAR to produce richer, more reliable insights
Collaborate & Influence – Partner with product, engineering, and insurance experts to translate technical outputs into actionable business decisions
Drive Continuous Improvement – Stay at the forefront of computer vision and machine learning advancements, and apply emerging techniques to enhance accuracy, scalability, and efficiency

5+ years in computer vision, machine learning, or applied AI roles, preferably in real-world inspection, insurance, construction, or geospatial domains
Bachelor’s, Master’s, or PhD degree in Computer Science, Electrical Engineering, Mathematics, Physics, or related technical field
Deep Learning for 2D image classification, object recognition and semantic/instance segmentation
Strong Background in multimodal data fusion (e.g., RGB, aerial imagery, satellite, LiDAR)
Proficiency in Python, TensorFlow/PyTorch, OpenCV and strong applied math skills in geometry, linear algebra and optimization
Strategic Mindset-Ability to see beyond the algorithm, anticipating business needs and shaping product direction through AI-driven insights
Nice to Have: Experience with insurance, property tech or construction tech solutions
Nice to Have: Familiarity with cloud-based ML deployment pipelines (AWS/GCP/Azure)
Nice to Have: Experience building interactive visualization tools for inspection data or 3D reconstructions