Skydio is seeking an Autonomy Engineer - Deep Learning to train and deploy optimized deep learning models for their autonomous flight systems. The role involves designing, implementing, and deploying computer vision and multimodal models, leveraging real-world and synthetic data, and optimizing models for embedded hardware. The ideal candidate has a strong background in deep learning, computer vision, and experience deploying models to production.
Senior Autonomy Engineer focused on designing, implementing, and optimizing deep learning solutions for real-time object detection, tracking, segmentation, and optical flow estimation on drones. The role involves leveraging state-of-the-art methods like unsupervised learning and foundational models, curating synthetic data, and refining models for low-latency embedded hardware, with a strong emphasis on computer vision and robotics applications.
The role focuses on designing, implementing, and deploying deep learning models for autonomous flight systems, with a specific emphasis on computational photography applications. It involves training and optimizing models for both embedded hardware and cloud deployment, using real-world and synthetic data, and developing evaluation benchmarks.