Radiant Earth Foundation is looking for candidates based in either the United States, Ghana, Ivory Coast, or Senegal for this position.
Our core mission is to make insights from remote sensing data and machine learning an order of magnitude more accessible for global non-profits, humanitarian organizations, and companies and governments in emerging economies.
We do this by curating, hosting, and listing/redirecting to open training datasets through Radiant MLHub. MLHub is a repository and registry of geospatial training data, and we lead community efforts to develop standards and increase interoperability of these data for machine learning applications.
In addition to training data catalogs, we work with organizations on complex use cases with high-impact outcomes. Since our founding in 2016, we’ve worked with Omidyar Network (a founding funder), Bill and Melinda Gates Foundation (another founding funder), as well as NASA, GIZ, Digital Earth Africa, Schmidt Futures, McGovern Foundation, and more.
We are searching for a passionate Geospatial Data Engineer to help us curate new training datasets, and develop pipelines to facilitate the ingestion of geospatial datasets into the Radiant MLHub catalog.
What You Will Do:
You will work with Geospatial Software Engineers in our team to process and catalog geospatial machine learning training datasets for use in Radiant MLHub using Python. As part of this process, you will:
What we offer:
Radiant Earth offers a competitive salary and attractive benefits package with flexible time off. We work with a diverse user community, and you will have the opportunity to work on highly impactful projects. We have a collaborative work environment with a robust support system driven by passionate individuals.
While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted. All applications are considered confidential. Radiant Earth Foundation is an equal opportunity employer.