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Machine Learning Engineer - Remote Eligible

Develop Machine Vision AI models for Semantic Segmentation and Anomaly Detection.
Remote
Senior
2 weeks ago
Roofr

Roofr

Sales software for roofers. Aerial measurements + proposals in seconds

✨ About The Role

- Develop Machine Vision AI models for Semantic Segmentation, Anomaly Detection, and Entity Classification for Satellite/Aerial imagery - Research, develop, and deploy advanced algorithms for image processing and computer vision - Work with Geospatial data such as Satellite imagery and GeoJSON to build model pipelines - Build ML and Computer Vision models to assist in automating manual annotation processes - Implement ML/AI solutions for consumption via API through collaboration with Software engineers
- Experienced in machine learning with 5-7 years of relevant experience, holding an MS/PhD in Machine Learning, Computer Science, Mathematics, or a related field - Proficient in image/video processing, computer vision, and machine learning, with a strong background in working with various types of satellite/aerial imagery - Skilled in developing Machine Vision AI models for Semantic Segmentation, Anomaly Detection, and Entity Classification - Capable of working with Geospatial data and building ML and Computer Vision models to automate manual annotation processes - Experienced in deploying ML models on cloud infrastructure and collaborating with Software engineers to implement ML/AI solutions for web/mobile platforms
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Machine Learning Engineer - Remote Eligible
Remote
Engineering
About Roofr
Sales software for roofers. Aerial measurements + proposals in seconds