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 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 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
#LI-SM1
At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws.
For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/
Skills Required
- 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 code
- Real experience prototyping, training, optimizing, and deploying deep neural networks
- Ability to read and contextualize scientific papers
- Ability to thrive in a fast-paced, collaborative team environment
What We Do
Skydio is the leading US drone company and world leader in autonomous flight, the key technology for the future of drones and aerial transportation. Our mission is to make the world more productive, creative, and safe with autonomous flight.
Why Work With Us
The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, and operational excellence to empower a broader, more diverse audience of drone users - from action sports enthusiasts to first responders to insurance claims adjusters.
