Senior Computer Vision Engineer

About Us:

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 Senior Computer Vision Engineer 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 AI model development, operations, and test experience; familiarity with national security use cases; and success working in an agile development environment. Additionally, the ideal candidate has demonstrated the ability to manage their own efforts over a broad scope of work as an independent contributor. Finally, the candidate should be an independent thinker with the demonstrated ability and willingness to lean in and solve new problems.

Responsibilities:

  • Design and implement computer vision solutions that exploit machine learning, statistical learning, and deep learning for next-generation satellite imagery analytics
  • Plan and conduct research in projects related to computer vision, probabilistic modeling, predictive analytics, and content curation
  • Develop and prototype algorithms, models, and analytical tools for solving domain specific business problems
  • Take part in the entire project lifecycle from requirements development to deployment
  • Collaborate with management and technical team on product strategy

Required Qualifications:

  • At least five years of hands-on experience as a computer vision engineer, machine learning engineer, or data scientist with at least two years focused on computer vision.
  • Bachelor’s Degree or higher in one of the following fields: computer science, data science, mathematics, physics, statistics, or another computational field.
  • Python 3 proficiency.
  • Hands on experience working with large imagery data sets including image normalization, image augmentation, raster/vector visualization, etc.
  • Experience developing deep learning-based software solutions. In particular, developing models in TensorFlow or PyTorch, and Keras.
  • Familiarity with open source python computer vision libraries such as Scikit-image, Rasterio, OpenCV, Pillow, Shapely, etc.
  • Ability to create and follow standard software development processes and clearly document results.
  • Strong ability to communicate concepts and analytical results with customers, management, and the technical team, highlighting actionable insights.
  • US Citizenship.

Preferred Qualifications:

  • More than eight years of hands-on experience as a computer vision engineer, machine learning engineer or data scientist.
  • Ph.D./Master's degree in the previously mentioned fields.
  • Current knowledge of research literature in computer vision.
  • Experience working with remote sensing data, ideally satellite imagery and an understanding of Geospatial software (GDAL, osgeo, etc.) and programming standards.
  • Familiarity researching and prototyping unsupervised and semi-supervised deep learning-based algorithms.
  • Experience developing asynchronous processing algorithms and Cloud-based solutions (especially AWS services like EC2 & S3).

BlackSky is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer All Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other characteristic protected by law.

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

EEO/AAP/ Pay Transparency Statements: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf
https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf

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