Sr. Computer Vision Engineer

Job Title

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

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

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)