
10,000+ employees
Founded 2004
📱 Media
Media • Entertainment
NBCUniversal is a leading global media and entertainment company known for creating and distributing content across a variety of platforms. With over 100 years of experience, it is a part of Comcast and encompasses brands like Peacock, NBC Sports, and many others to educate, entertain, and empower audiences around the world. The company is involved in television broadcasting, film production, and theme parks, and is also recognized for its initiatives in technology and corporate social responsibility. NBCUniversal is committed to innovation and social impact, making it a vibrant workplace for media and tech professionals.
🔥 35 minutes ago
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10,000+ employees
Founded 2004
📱 Media
Media • Entertainment
NBCUniversal is a leading global media and entertainment company known for creating and distributing content across a variety of platforms. With over 100 years of experience, it is a part of Comcast and encompasses brands like Peacock, NBC Sports, and many others to educate, entertain, and empower audiences around the world. The company is involved in television broadcasting, film production, and theme parks, and is also recognized for its initiatives in technology and corporate social responsibility. NBCUniversal is committed to innovation and social impact, making it a vibrant workplace for media and tech professionals.
• Drive geospatial data and tooling needs for a large-scale project • Source 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 • Manage the coverage, freshness, quality, and cost of sourced data • Build and use automated tools to prepare data for AI/ML use • Collaborate with AI/ML teams and Pipeline and Product teams
• Master’s 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 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 an existing toolset is required.
• Health insurance • Flexible work arrangements • Professional development opportunities • Paid time off
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