Job Description:
• Contribute to driving geospatial data and tooling needs for a large-scale project
• be part of a team of GIS engineers responsible for sourcing geospatial data in many modalities
• build geospatial data automation and tooling in an AI/ML pipeline for new applications
• research and gather data for specific regions from different sources, including imagery and other raster data, vector data, and point clouds
• find and acquire data from free/public domain sources, and participate in partnerships with commercial data providers
• assist in managing the coverage, freshness, quality, and cost of the sourced data
• build and use automated tools (e.g., incorporating open source libraries like GDAL and in-house tools) to clean, resize, reformat, and align it so it’s ready for internal customers to use
• responsible for tooling to automatically postprocess the output of a geospatial AI/ML pipeline for use by other teams
• work closely with different teams in our organization and partner with the AI/ML teams to supply diverse data they need for building new machine learning models
Requirements:
• Bachelors or Masters degree in GIS, Computer Science, Engineering, Mathematics, or a related field
• 2+ years of relevant industry experience in a fast paced, high growth tech environment
• Experience with GIS modalities and formats, including at least some of orthoimagery (e.g. GeoTIFF), point clouds such as LiDAR (e.g. LAS/LAZ), vector data (e.g. ESRI Shapefiles, GeoJSON, OSM), raster data storing elevation and terrain information such as DTM, DSM, and DEMs, and raster data storing landcover information
• Software engineering experience, including designing and architecting software
• Experience in Python for automation of common tasks and/or contributing to our existing tool palette is required.
Benefits:
• medical, dental and vision insurance
• 401(k)
• paid leave
• tuition reimbursement
• a variety of other discounts and perks