Senior Autonomy Engineer - Deep Learning

This role focuses on developing deep learning solutions for autonomous flight, including object detection, tracking, segmentation, and optical flow estimation. The engineer will design and implement real-time deep networks, curate synthetic and real-world datasets, optimize models for embedded hardware, and research new approaches to advance the autonomy system of Skydio drones.

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