Staff Geospatial Systems Engineer

Job Description

In this role, you will drive geospatial data sourcing, automation, and tooling in an AI/ML 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 AI/ML 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 free/public 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 AI/ML use, you’ll 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. 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:

• 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 AI/ML research. Coordinate with AI/ML 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 high-level 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 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.

Desired Characteristics:

• Team-oriented and collaborative approach with a demonstrated aptitude, enthusiasm and willingness to learn new methods, tools, practices and skills.
• Experience with some flavor of Linux. Comfort with some flavor of a Unix shell environment (e.g. bash) is preferred.
• Enthusiasm for automated development processes and systems.

This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $140,000-$170,000 (bonus eligibility).

We are accepting applications for this position on an ongoing basis.

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Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

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