Autonomy Engineer Intern - Deep Learning (Computational Photography)

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders , soldiers in battlefield scenarios , and beyond .

About the role:

We leverage breakthrough AI to create the world’s most intelligent flying machines for use by our enterprise, public safety, defense and other customers. Learning a semantic and geometric understanding of the world from best-in-class visual data is the core of our autonomy system.

We are pushing the boundaries of what is possible with real-time deep networks to accelerate progress in intelligent aerial robots that can autonomously navigate in unknown environments and deliver operational value to users. Capture and processing of high quality visual data powered by computational photography models and algorithms are key to enabling enhanced camera capabilities and downstream applications such as inspection and mapping, ISR (intelligence, surveillance and reconnaissance) and public safety.

If you are excited about real world applications of deep learning and solving difficult problems in imaging, computer vision and autonomy, we would love to hear from you. As a Deep Learning Engineer Intern, you will be responsible for training and deploying optimized models to our products for solving challenging problems such as multimodal scene understanding, computational photography, optical flow and range estimation, object detection, segmentation and tracking, visual localization and mapping, few-shot learning, automated path planning etc…