Geospatial ML Solutions Engineer

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Atlas AI

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We help companies scale by targeting investments in untapped and underserved markets to maximize growth and impact.

AI • Satellite Imagery • Agriculture • Intelligence • Impact Investment

11 - 50

Description

• Design, develop, and implement innovative geospatial solutions for internal and external customers • Analyze customer needs, design custom solutions leveraging proprietary tech stack, licensed tools, data analysis techniques, and spatial modeling • Manage large geospatial datasets from various sources (remote sensing, mobility, financial, etc.) • Assemble application-specific training data sets, train and deploy proprietary and open AI/ML models • Architect scalable and serverless means of deploying solutions • Develop thorough validation and Quality Assurance protocols • Create clear and concise documentation for implemented solutions • Communicate technical details effectively, understand client needs, and provide expert guidance • Research and learn about new geospatial technologies and best practices • Contribute to the development of company’s geospatial products and services

Requirements

• Master's degree in Computer Science, Machine Learning, Data Science, Software Engineering or a related field • Three or more years of work experience as a Backend Software Engineer deploying Data Science and/or Machine Learning workflows and pipelines in the cloud as serverless applications (e.g. GCP Cloud Run) or orchestrated workflows (e.g. Airflow, Argo) • Technical ownership of key areas of a Product, such as a critical service • Demonstrable experience with Python, PyTorch, OpenCV, (Geo-) Pandas, scikit-learn, GDAL, Github, Docker • Demonstrable experience with deployment of image segmentation / object detection algorithms • Self-starter attitude, comfortable working independently in an entrepreneurial, start-up environment; thrives in high-trust environments with minimal resources/backing • Exceptional interpersonal communication, both written and oral, with the ability to explain technical concepts to non-technical audiences • Intellectual curiosity and desire to contribute across cultures in a dynamic global environment • Experiences that are big pluses: • Working knowledge of C++ • Deploying geospatial libraries at scale for user-facing applications • Experience with building distributed computing infrastructure flexible for both on-demand and batch processing • Developing enterprise SaaS products • Developing on Google Cloud Platform

Benefits

• Casual and inclusive working environment • Competitive compensation • Great benefits • Values-driven company