Staff Geospatial Systems Engineer

Work set-up: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Master's degree in Computer Science, Engineering, Mathematics, or related field., At least 3 years of industry experience in a fast-paced tech environment., Experience with open-source GIS libraries like PROJ and GDAL for spatial data processing., Basic scripting skills in Python for automation tasks..

Key responsibilities:

  • Research and gather geospatial data from various sources for specific regions.
  • Develop and maintain tools to preprocess, clean, and prepare data for AI/ML applications.
  • Partner with AI/ML and product teams to provide relevant geospatial data.
  • Ensure data quality, coverage, and freshness for geospatial AI/ML pipelines.

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NBCUniversal XLarge http://www.NBCUniversal.com
10001 Employees
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Job description

Company Description

NBCUniversal is one of the worlds leading media and entertainment companies. We create worldclass content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium adsupported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have worldrenowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

Comcast NBCUniversal has announced its intent to create a new publicly traded company (Versant) comprised of most of NBCUniversals cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The wellcapitalized company will have significant scale as a pureplay set of assets anchored by leading news, sports and entertainment content. The spinoff is expected to be completed during 2025.

Job Description

In this role, you will drive geospatial data sourcing, automation, and tooling in an AIML pipeline for new applications. You will contribute to and own data research and sourcing, automating data preprocessing, and building tooling to export the geospatial data outputs of an AIML pipeline for use in building interactive 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 freepublic domain sources, as well as form and maintain partnerships with commercial data providers. You will be responsible for ensuring the coverage, freshness, and quality of the sourced data.

To prepare this data for AIML use, you’ll build and use automated tools (incorporating GDAL and inhouse libraries) to clean, resize, reformat, and align it so it’s ready for our team to use. You will also be responsible for tooling to automatically postprocess the output of a geospatial AIML pipeline for use by other teams.

This role involves working closely with different teams in our organization. You’ll partner with the AIML 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:

  • 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
  • Contribute to our internal tools that process and source geospatial datasets.
  • Partner with groups across the organization to understand needs for GIS data for AIML research. Coordinate with AIML team to provide diverse data for developing new machine learning algorithms, and the Pipeline and Product teams to provide data to roll out new regions.
  • Partner closely with leadership to understand the highlevel product vision
    • Qualifications
      • 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.
      • Experience working with opensource 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. LASLAZ), 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 andor contributing to our existing tool palette.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Willingness To Learn
  • Teamwork
  • Collaboration
  • Enthusiasm

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