Senior Autonomy Engineer - Deep Learning
At a glance
Senior Machine Learning Engineering role at Skydio. Zurich · full-time.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build real-time drone models for detection, tracking, segmentation and optical-flow estimation
- Use unsupervised and few-shot methods or foundation models to reduce the data needed for learning
- Improve synthetic and structured video datasets that train the deep-learning systems
- Tune vision models for fast execution on embedded hardware and measure their performance
- Prototype new computer-vision approaches and contribute across the software when needed
What you bring
- Hands-on experience building and deploying deep-learning models
- Experience preparing synthetic and real-world image datasets
- A strong software engineering foundation, with clean code in Python, C++ or both
- Practical experience prototyping, training, optimizing and deploying neural networks
- You can interpret research papers and literature in computer vision
Who this fits
This senior role suits an engineer who can move between computer-vision research, model deployment and broader software work. The position is based in Zurich, Switzerland, with a hybrid arrangement.
From the employer
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-ended 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
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/