GIS Data Engineer for AI/ML Geospatial Pipelines

NBCUniversal Intl.; New York, Northern (NY, KY); Hybrid; USD 125,000 - 160,000; Full time

Benefits offered by this job

Medical, dental and vision insurance

401(k)

Paid leave

Tuition reimbursement

Job summary

NBCUniversal is seeking a GIS data Engineer to drive geospatial data and tooling for large-scale AI/ML applications. You will join a team of GIS engineers responsible for sourcing geospatial data across modalities and building automation and tooling for AI/ML pipelines.

You will gather data from imagery, vector data, and point clouds, manage coverage and freshness, and collaborate with AI/ML and product teams to roll out data for new regions.

Qualifications

• Masters degree in GIS, Computer Science, Engineering, Mathematics, or a related field.
• 4+ years of relevant industry experience in a fast paced, high growth tech environment.
• Experience with GIS modalities and formats, including orthoimagery (e.g.GeoTIFF), LiDAR point clouds, vector data, and rasters.
• Software engineering experience, including designing and architecting software; Python for automation is required.

Responsibilities

• Aggregate data for target regions and ensure a complete collection of data.
• Research open, public domain, and commercial sensor data sources for areas, quality, and freshness.
• Use open source tools (e.g., GDAL) to preprocess, align, crop, and resample data.
• Contribute to internal tools that process and source geospatial datasets.
• Partner with groups across the organization to understand GIS data needs for AI/ML research.
• Coordinate with AI/ML, Pipeline and Product teams to provide data for new regions.

Skills

Geospatial data analysis

Python automation

Open-source GIS

Data sourcing

Education

Masters degree in GIS/CS/Engineering/Math

Tools

GDAL

PROJ

Python scripting

Job description

NBCUniversal is seeking a GIS data Engineer to drive geospatial data and tooling for large-scale AI/ML applications. You will join a team of GIS engineers responsible for sourcing geospatial data across modalities and building automation and tooling for AI/ML pipelines.

You will gather data from imagery, vector data, and point clouds, manage coverage and freshness, and collaborate with AI/ML and product teams to roll out data for new regions.