BlackSky is a geospatial intelligence solutions provider that enables organizations to task, collect, and transform data from earth observation, global sensor networks, mobile devices, and social media to deliver on-demand insights about places, events, and assets that are critical to their operations. BlackSky provides satellite collection, data, and cloud-based processing and analytic solutions to organizations that are capitalizing on the exponential growth of a wide range of sensor and collection platforms for delivering the next generation of geo-intelligence and location intelligence solutions. BlackSky has extensive expertise and capabilities in commercial remote sensing, multi-source analytics, cloud computing, open-source software development, Amazon Web Services, and big data geospatial analytics. BlackSky is operating and deploying a constellation of high-resolution imaging spacecraft to image the planet in near real time.
BlackSky is looking for a talented and creative Principal Architect to support the development, operation, and capability evolution of Spectra AI, BlackSky’s cutting edge AI/ML Platform. As part of the machine learning team, you are instrumental in supporting the automated monitoring mission at BlackSky. You will help ensure that Spectra AI produces consistent, reliable, and relevant analytics to BlackSky’s growing user base.
This position is a critical element of the BlackSky AI/ML Engineering team and is expected to work collaboratively with internal satellite development teams to ensure success. The ideal candidate has extremely strong background in cloud infrastructure, data engineering and database technologies, and machine learning paradigms. Additionally, the candidate has a history of leading major projects with the ability to gather requirements, architect scalable cloud-based systems, and leading diverse teams to implement that architecture.
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We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status