• Developing Machine Vision AI models for Semantic Segmentation, Anomaly Detection and Entity Classification for Satellite/Aerial imagery (DSM/RGB/etc)
• Researching, developing and deploying advanced algorithms for image processing as well as computer vision
• Working with Geospatial data such as Satellite imagery (RGB/DSM) and GeoJSON to build model pipelines
• Build ML and Computer Vision models to assist/automate manual annotation of detailed roof report drawing
• Experience training models on VMs, Google Kubernetes and Compute Engines
• Deploy models on cloud infrastructure and serve as APIs
• Implementing ML/AI solutions for consumption via API (web/mobile platforms) through collaboration with Software engineers

What You'll Bring to the Role:

• 5-7 years of Machine Learning experience
• MS/PhD in Machine Learning, Computer Science, Mathematics or related field with specialization in Machine Learning and/or Computer Graphics
• Experience in image/video processing, computer vision, machine learning
• Strong experience working with RGB and Infrared, and DSM/DTM Satellite/Aerial imagery
• Strong experience working with ​​CNNs, Fast RCNNs, Mask RCNNs, YOLO, ImageNets
• Proficient in Python, PyTorch, PySpark, OpenCV, OpenMLLab, Docker
• Experience with Cloud Infrastructure such as Google Cloud Platform, AWS, etc.
• Experience deploying ML models in production