Join Esri's innovative team as a Product Engineer focused on Geospatial Data Science and GeoAI, where you'll develop cutting-edge AI solutions to enhance spatial analysis and mapping technologies. Collaborate with cross-functional teams to integrate machine learning into Esri's world-class GIS platforms, driving real-world impact through intelligent geospatial insights.

Esri, a leader in geographic information system (GIS) software, is seeking a talented Product Engineer to join our GeoAI team in advancing the frontiers of geospatial data science. In this role, you will design and implement AI-powered features for Esri's ArcGIS platform, enabling users to leverage machine learning for spatial pattern recognition, predictive modeling, and automated feature extraction from satellite imagery and sensor data.

Key responsibilities include developing scalable algorithms for processing large-scale geospatial datasets, integrating deep learning models into user-friendly applications, and collaborating with product managers, data scientists, and developers to ensure seamless deployment. You will contribute to open-source geospatial AI projects and stay at the forefront of emerging technologies like neural networks for remote sensing and natural language processing for location intelligence.

This position offers the opportunity to work on impactful projects that support environmental conservation, urban planning, and disaster response worldwide. If you are passionate about combining AI with geography to solve complex problems, Esri provides the ideal environment to innovate and grow your career.

• Bachelor's or Master's degree in Computer Science, Data Science, Geography, or a related field
• 3+ years of experience in software engineering with a focus on geospatial data processing and AI/ML
• Proficiency in Python, including libraries such as TensorFlow, PyTorch, and geospatial tools like GDAL, Fiona, or ArcPy
• Strong understanding of machine learning techniques applied to spatial data, including computer vision for imagery analysis
• Experience with cloud platforms (AWS, Azure) and big data technologies (Spark, Hadoop)
• Excellent problem-solving skills and ability to work in an agile environment
• Knowledge of GIS concepts and tools is highly desirable

• Competitive monthly salary with performance-based incentives
• Comprehensive health, dental, and vision insurance
• Flexible remote work options with collaborative tools and support
• Professional development opportunities, including conferences and training in AI and GIS
• Generous paid time off and work-life balance initiatives
• Access to Esri's state-of-the-art tools and resources for innovation