Design and implement deep learning solutions for real-time object detection and tracking on Skydio drones.
Posted by employer 5 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
Leveraging massive amounts of structured video data for deep learning algorithms.
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Joblaze summary
In this role, the Senior Autonomy Engineer focuses on developing and implementing deep learning solutions for real-time tasks such as object detection and motion prediction on Skydio drones. The position requires expertise in deep learning, particularly in unsupervised and few-shot learning, along with strong software engineering skills in Python and C++. Ideal candidates are experienced professionals who thrive in a collaborative, fast-paced environment and have a solid foundation in computer vision. Skydio emphasizes diversity and innovation, fostering a multidisciplinary team culture.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Skydio's careers page October 27, 2026.
- This exact title is also open at 1 other location at Skydio: San Mateo, California, United States.
- Python appears in 52.4% of 546 comparable senior ai/ml roles in United States; Computer Vision appears in 3.8% of 546 comparable senior ai/ml roles in United States.
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: C++, Computer Vision, Deep Learning, Machine Learning, Python.
- What seniority level is this role?
- Skydio targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Autonomy Engineer - Deep Learning role at Skydio.
From the original posting
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
Standard company text repeated across Skydio's postings is omitted here.