Education: Bachelor's degree
Experience: 2+ years
In this role, you will contribute to driving geospatial data and tooling needs for a large-scale project. You will be part of a team of GIS engineers responsible for sourcing geospatial data in many modalities, and for building geospatial data automation and tooling in an AI/ML pipeline for new applications. In this role, you’ll research and gather data for specific regions from different sources, including imagery and other raster data, vector data, and point clouds.
You will find and acquire data from free/public domain sources, and participate in partnerships with commercial data providers. You will assist in managing the coverage, freshness, quality, and cost of the sourced data. The most successful team members will have a working knowledge of disparate effective sources of data, and a curiosity for finding new ones.
To prepare this data for AI/ML use, you’ll 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. You will also be responsible for tooling to automatically postprocess the output of a geospatial AI/ML pipeline for use by other teams.
This role involves working closely with different teams in our organization. You’ll partner with the AI/ML teams to supply diverse data they need for building new machine learning models, and with the Pipeline and Product teams to ensure they have the necessary data required.
Responsibilities include, but not limited to:
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