In order to take our government business to the next level we are looking to hire a Computer Vision Scientist/Engineer to join our Public Sector team. This person will work on developing, adapting, and extending our commercial software products to fit the needs of our government customers.
To support this work we need creative and expert engineers who are not afraid of taking on computer vision problems that have never been tried before. They must be familiar with a broad range of techniques and able to research and utilize the best methods to complete the task. We also need them to never stop improving both the coverage and accuracy of the objects and kinds of land use that we can recognize.
The world is a very big place. With a single photograph of Earth, like the famous “Blue Marble” from Apollo 17, the entire world can fit on a computer screen. However, with this image you would not be able to see much detail. To see the Earth and all of its rich features, you would need a lot more images. In fact it would take over 500 million images just to observe the land area of Earth at 1 meter pixel resolution.
In order to see detail and work at scale, we use computer vision and machine learning. Using convolutional neural networks, we have counted over 3 billion cars across global roads and parking lots, analyzing commercial patterns as well as city growth and development. Our global energy product uses computer vision to map floating roof oil tanks and measure the global volumes of crude oil. With this product, we were able to show that China has 200 million barrels of oil storage capacity that was unknown even to the trading community. Other projects include tracking rates of deforestation, measuring poverty levels around the globe, monitoring construction rates of new roads and buildings, and predicting crop yields. This is still the beginning of our mission to understand the Earth.
This position will be based in our Arlington, Virginia office but may require some work at customer sites in the DC area. Occasional travel to corporate headquarters in Palo Alto, California may be required.
- Design and implement highly scalable computer vision algorithms
- Rapidly iterate algorithms to continuously improve precision and recall under a variety of conditions
- Collaborate with end-user product owners to understand computer vision needs
- Design and implement test methodologies for testing and accuracy assessment
- Support build deployment, management, and monitoring systems
- Provide production support for applications and infrastructure
- Current TS/SCI clearance required
- MS or PhD Degree in computer science or related discipline
- 5+ years experience in computer vision, machine learning, and/or image processing (industry experience is a plus)
- Solid software engineering skills (python is a plus)
- Expertise in deep learning, including semantic segmentation, object detection, and image classification is a plus
- Experience with cloud computing (AWS or similar) is a plus
- Experience with automated analysis of satellite, aerial, or multispectral imagery is a plus
Orbital Insight is a fast growing provider of geospatial data and geo-analytic services to commercial, nonprofit and public sector clients across the globe. Leveraging advancements in computer vision and cloud computing, Orbital Insight is turning millions of images into a big picture understanding of the world that is quantitatively grounded in observation, creating unprecedented transparency, and empowering global decision makers with new sources of objective, quantified socio-economic insights.
We are backed by marquee investors such as Google Ventures, Sequoia Capital, In-Q- Tel and Bloomberg Beta, Orbital Insight is rapidly expanding its commercial and public sector capabilities. Come join us if you are unafraid to try new approaches and relentlessly seek to push the state of the art, taking projects all the way from prototype to production-ready.