Job Description
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: 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 aerial robots that can autonomously navigate in unknown environments and deliver operational value to users. If you are excited about real world applications of deep learning and solving difficult problems in computer vision and autonomy, we would love to hear from you. As a Deep Learning Engineer, you will be responsible for training and deploying optimized models to our products for solving challenging problems such as optical flow estimation, stereo depth estimation, object detection, segmentation and tracking, visual place recognition, localization and mapping, few-shot learning, occupancy networks, automated path planning etc. How you'll make an impact: Design, implement, and deploy computer vision and multimodal deep learning models for Skydio’s autonomy system Leverage massive amounts of real world video and other sensor data for data mining, curation, labeling, training and evaluation Leverage large scale and diverse synthetic data to power deep learning algorithms Leverage state-of-the-art foundation models for knowledge distillation and label efficient learning Refine and optimize models for low-latency on embedded
Skydio is a drone manufacturer that uses artificial intelligence to create flying drones that are used by consumers, enterprises, and government customers. It develops AI-powered drones to deliver the power and flying cameras without the complexity. The company's drones use an array of cameras and proprietary computer vision technology to recognize, avoid objects in real-time, and predict into the future to make intelligent decisions, enabling users by flying themselves through the most demanding tasks or keeping them safe from obstacles when they want to take control. The company's debut drone, the R1, could track a target and film them while avoiding obstacles without any human intervention required. Then the company released the Skydio 2 in 2019, its second drone, cutting off more than half the price while improving it its autonomous tracking and video capabilities. Its flagship product, the X2, is equipped with seven cameras, 100x zoom, night vision, and promises to turn ordinary users into expert pilots thanks to its self-piloting abilities. It is backed by top investors and strategic partners including Andreessen Horowitz, Linse Capital, Next47, IVP, Playground, NVIDIA, and UP.Partners.
