Sr. Computer Vision Engineer

Job Title

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

Qualifications:

• 5+ years of hands-on experience as a computer vision engineer, machine learning engineer, or data scientist with at least 2 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 Required

Desired Skills:

• 8+ 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)