Senior Autonomy Engineer - Deep Learning

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.

Responsibilities

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

Requirements

Demonstrated hands-on experience creating and deploying deep learning models; Experience curating synthetic and real-world image datasets; Solid software engineering foundation and commitment to writing clean, well-architected code (in Python or C++, preferably both); Real experience prototyping, training, optimizing, and deploying deep neural networks; Ability to read and contextualize scientific papers and literature in computer vision; Ability to thrive in a fast paced, collaborative, small team environment