Principal Computer Vision Engineer

Principal Computer Vision Engineer

Washington, D.C.

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
• Leads team members to accomplish project goals, contribute to technical proposals as needed, and interact with customers to ensure requirements are understood and met

Qualifications:

• Bachelor's Degree or higher in one of the following fields: computer science, data science, mathematics, physics, statistics, or another computational field
• 8+ years of experience with Machine Learning Engineering
• At least 3 recent years of Computer Vision focused experience
• Hands on experience working with large imagery data sets including image normalization, image augmentation, raster/vector visualization, etc.
• Python 3 proficiency
• 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.
• Must be a US Person for this role

Desired Skills:

• Ph.D./Master's degree in the previously mentioned fields
• Familiarity researching and prototyping unsupervised and semi-supervised deep learning-based algorithms