Atlas AI generates actionable intelligence on agricultural and economic trends across the developing world. Spun out of Stanford and founded in partnership with the Rockefeller Foundation, we are an AI start-up focused on social impact. Our products support decision-makers in emerging markets and across the global development sector. This is a rare opportunity to have a significant impact on the evolution of the company. You will be part of a big mission and a small but sophisticated team working to improve the lives of millions of people around the world.
Main responsibility:build scalable pipelines for processing and managing petabytes of geospatial data.
Design and implement algorithms for large-scale processing of satellite imagery.
Design and implement imagery QA pipelines.
Design and implement a data I/O pipeline for our AI framework.
Assist with data requirements specific to individual contracts.
Provide beautiful satellite visualizations for outreach campaigns.
Excellent knowledge of GDAL and OGR and their python wrappers.
Experience with cloud-based architectures, especially with Google Cloud products.
Experience with large-scale distributed systems such as Hadoop and Spark.
Familiarity with GIS web visualization tools (e.g. Mapbox and leaflet).
Familiarity with STAC and COG.
Basic knowledge of Remote Sensing Science.
2+ years of industry work experience in this domain.
Willing learner, creative problem solver, and large-scale thinker.
Positive, self-starter who can take responsibility for driving a project to completion.
Passionate about making a difference in developing nations and helping the underserved.