Senior Autonomy Engineer - Deep Learning

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 https://www.skydio.com/solutions/energy-and-utilities to first responders https://www.skydio.com/solutions/public-safety, soldiers in battlefield scenarios https://www.skydio.com/solutions/national-security/tactical-isr, and beyond https://www.skydio.com/solutions. About the role: Learning a semantic and geometric understanding of the world from 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 mobile robots. If you are excited about solving open-end problems in object detection and tracking, motion prediction, flow estimation, and total scene understanding, while leveraging massive amounts of structured video data, we would love to hear from you. How you'll make an impact: - Design and implement deep learning solutions that solve detection, tracking, segmentation, and optical flow estimation tasks in real-time on Skydio drones - Leverage state-of-the-art methods in unsupervised learning, few shot learning, and foundational models for data efficient ML - Curate and enhance synthetic data that powers our deep learning algorithms along with massive amounts of structured video data - Refine and optimize models for low-latency on embedded hardware - Characterize and quantify the performance of the vision systems - Research and prototype new approaches - Be a generalist helping out on all aspects of the software when needed What makes you a good fit: - Demonstrated hands-on experience creating and deploying deep learning models - Experience curating synthetic and

Department: R&D; Team: Autonomy