Drive geospatial data sourcing, automation, and tooling in an AI/ML pipeline for new applications.
Requirements
- Experience working with open-source GIS libraries and tools, including PROJ and GDAL, for spatial data processing, transformation, and analysis.
- Experience with GIS modalities and formats such as orthoimagery (e.g. GeoTIFF), LiDAR (e.g. LAS/LAZ), vector data (e.g. ESRI Shapefiles, GeoJSON), elevation and terrain information such as DTM, DSM, and DEMs, landcover information.
- Basic scripting abilities (e.g., with Python) for rudimentary automation of common tasks and/or contributing to our existing tool palette.
- Experience with some flavor of Linux.
- Comfort with some flavor of a Unix shell environment (e.g. bash) is preferred.
Responsibilities
- Drive geospatial data sourcing, automation, and tooling in an AI/ML pipeline for new applications.
- Contribute to and own data research and sourcing, automating data preprocessing, and building tooling to export the geospatial data outputs of an AI/ML pipeline for use in building interactive applications.
- Build and use automated tools (incorporating GDAL and in-house libraries) to clean, resize, reformat, and align it so it’s ready for our team to use.
- Responsible for tooling to automatically postprocess the output of a geospatial AI/ML pipeline for use by other teams.
- Aggregate data for target regions and ensure that a complete collection of data is available.
- Research open, public domain, and commercial sensor data sources to determine the areas, quality, and freshness of available data.
- Utilize open source (e.g. gda1) and internally developed software tools to preprocess, align, crop, resample, and otherwise prepare data for use
Other
- Master’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline, or equivalent work experience.
- 3+ years of relevant industry experience in a fast paced, high growth tech environment.
- Team-oriented and collaborative approach with a demonstrated aptitude, enthusiasm and willingness to learn new methods, tools, practices and skills.
- Enthusiasm for automated development processes and systems.
- Salary range: $140,000-$170,000 (bonus eligibility).
