Python Programming, MongoDB, Agile methodologies, AWS, JIRA, PyTorch, TensorFlow, Docker, Kubernetes-K8s, Continuous Integration & Continuous Delivery - CI/CD, GIS, MLOps tools, ONNX
Capella is at the forefront of making vital information about our world accessible in a timely manner. We’re leveraging proven technologies and building new capabilities to create a constellation of SAR satellites that can collect information about any spot on the planet within an hour. At Capella you’ll work in a collaborative team environment, alongside smart people with a history of space mission success. No prior space experience is needed—we’re looking for people excited about tackling seemingly impossible challenges, learning new skills and concepts, and helping each other achieve success. Our mission and our products are meant to understand the whole world and help everyone in it, regardless of race, creed, or any other distinction. We believe in a diverse and inclusive workplace, and we encourage all people to join our team and bring their unique perspective to help make us stronger. We value diversity at Capella and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position, but are not sure if you are the perfect fit, please apply!
About the Role
Capella is looking for a Data Science Intern to join the Analytics team. We’re looking for someone to help us push the bounds of what we can automatically extract and detect in our Very High Resolution radar imagery
In this role you will be contributing to research on image segmentation and/or object detection projects. Your key responsibilities will include:
This position is a paid, full time, three-month internship, with the option to extend for longer.
Requirements
Preferred
Capella Space is an American space company. It is developing space-based radar Earth observation satellites equipped with synthetic-aperture radar that can penetrate clouds and work at night. The company is based in San Francisco, California.