Product Engineer II - Geospatial Data Science
Core
Design and implement test plans, write test code, and validate software, SDKs, and AI models for geospatial analysis tools.
Role type
Product Engineer II (QA & Validation)
Builds
Geospatial AI tools, APIs, pretrained models, and documentation for imagery and location data analysis.
Domain
Geospatial data science and artificial intelligence
Deliverable
production ML models | product features
Required skills
Python, Jupyter notebooks, GIS libraries (GDAL/Rasterio/ArcPy), testing frameworks (Pytest), QA processes, test automation, bug fixing, technical writing, project management
Preferred skills
Machine learning and deep learning workflows, ArcGIS suite, remote sensing, satellite imagery analysis, Agile/Scrum methodologies
Technologies
Python, Jupyter, GDAL, Rasterio, ArcPy, Pytest, ArcGIS
Responsibilities
Develop and implement test plans and test cases; Review and analyze test results to report on software quality; Troubleshoot and triage customer issues; Collaborate with data scientists on testing and release of tools and models; Develop samples, tutorials, and documentation for product features.
Seniority
Mid-level, hands-on IC