Senior Autonomy Engineer - Deep Learning
Skydio is hiring a Senior Autonomy Engineer - Deep Learning for a remote role open to applicants in Switzerland. Level rates it ; you can apply on Skydio.
Level's read on this job
- Level rates this role Builds AI ●●●●: the job is building AI systems.
- This is listed as a remote role.
- The posting mentions Python, C and Deep Learning Frameworks among its tools and skills.
- Level classes it as a senior role.
- Skydio has 195 other open roles on Level.
AI in this role
Design and deploy real-time deep learning models and computer vision algorithms for drone autonomy systems.
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
#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/
How we rate this
Senior Autonomy Engineer - Deep Learning at Skydio rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- Tell me about a project where deep learning was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where object detection was part of your work. What did you do?
- Tell me about a project where neural networks was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Computer vision, Deep learning, Machine learning, Object Detection, and Neural Networks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
Get your CV reviewed before you apply
Send your CV and the role you want next. Your review arrives by email within 3 days.
Get new remote software engineering jobs (Builds AI ●●●●) by email
One email a week, each job rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free.
Similar roles
Software Engineering roles that build AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step