Computer Vision Team Leader – Remote Sensing
Job Description
We are seeking a highly motivated candidate to lead the development of our core technologies in remote sensing. You will serve a central role in building and refining our computer vision and machine learning algorithms focused on identifying objects, characteristics and trends from a variety of aerial data. The role entails:
- Lead a team of remote sensing engineers in exploring and developing the next generation of satellite enabled ML methodologies and models
- Act as a subject matter expert in Computer Vision, Artificial Intelligence, Remote Sensing, Geospatial Data and Analysis and design of new imaging systems and capabilities within the remote sensing team
- Build end-to-end remote sensing image analysis systems from image collection through data output to high-performing and scalable computer vision models
- Work on all stages of model development life cycle from defining data requirements, metrics, and labeling needs to deploying final models as part of the product
- Stay current on the latest ML/CV research by reviewing papers and implementing state-of-the-art concepts
Required Qualifications:
- 5+ years of industry experience in Computer Vision
- Experience in using Deep Learning for object detection, classification, and segmentation tasks with applications in overhead imagery (satellite and other aerial imagery)
- Experience working with low-resolution multispectral satellite data and raster data processing to solve problems within a high-resolution context
- Proficiency with remote sensing, location, mapping, and geospatial data
- 3+ years’ experience coding Computer Vision models in Python that live in production systems
- Familiarity with frameworks like Pytorch, QGIS, git, and AWS/GCP
