Autonomy Engineer - Deep Learning
At a glance
Mid-level 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 and ship computer vision and multimodal models for the autonomy system, tackling problems such as depth, detection and tracking
- Use real-world video and sensor data to find, prepare, label, train and assess model inputs
- Draw on synthetic data and foundation models to improve learning efficiency and model quality
- Tune models for fast execution on embedded hardware, and create measures for autonomous-system performance
- Pitch in across the software when needed, including work in a complex codebase
What you bring
- An M.S. or Ph.D. in computer science, electrical engineering or a related discipline
- Hands-on experience designing, training and deploying deep learning models
- Strong Python and PyTorch coding skills, with C++ preferred
- Ability to turn academic research into rapid model iterations
Who this fits
This mid-level role suits a technically versatile deep learning engineer who can work across computer vision, model deployment and broader software tasks. The position is based in Zurich and is hybrid.
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 aerial robots that can autonomously navigate in unknown environments and deliver operational value to users. If you are excited about real world applications of deep learning and solving difficult problems in computer vision and autonomy, we would love to hear from you.
As a Deep Learning Engineer, you will be responsible for training and deploying optimized models to our products for solving challenging problems such as optical flow estimation, stereo depth estimation, object detection, segmentation and tracking, visual place recognition, localization and mapping, few-shot learning, occupancy networks, automated path planning etc.
How you'll make an impact:
Design, implement, and deploy computer vision and multimodal deep learning models for Skydio’s autonomy system
Leverage massive amounts of real world video and other sensor data for data mining, curation, labeling, training and evaluation
Leverage large scale and diverse synthetic data to power deep learning algorithms
Leverage state-of-the-art foundation models for knowledge distillation and label efficient learning
Refine and optimize models for low-latency on embedded hardware
Develop evaluation benchmarks and metrics to quantify the performance of autonomous systems
Be a generalist helping out on all aspects of the software when needed
What makes you a good fit:
M.S. or Ph.D. in computer science, electrical engineering or related discipline
Demonstrated hands-on experience designing, training and deploying deep learning models
Ability to deliver high quality, well-architected code (Python/PyTorch and preferably, C++)
Leverage state-of-the-art academic papers and literature for fast iteration
Ability to thrive in a fast paced, collaborative and highly technical team environment
Comfortable navigating and delivering within a complex codebase
Strong communication skills
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/