4 months ago
Zürich, SwitzerlandSenior
Responsibilities
- Design and implement real-time deep-learning solutions for detection, tracking, segmentation, and optical-flow estimation on Skydio drones.
- Apply unsupervised learning, few-shot learning, and foundational models for data-efficient machine learning.
- Curate and enhance synthetic data and structured video data for deep-learning algorithms.
- Refine and optimize models for low-latency execution on embedded hardware.
- Characterize and quantify vision-system performance.
- Research and prototype new approaches.
- Contribute broadly across the software stack as needed.
Requirements
- Hands-on experience creating and deploying deep-learning models.
- Experience curating synthetic and real-world image datasets.
- Strong software engineering foundation and clean, well-architected coding practices in Python or C++, preferably both.
- Experience prototyping, training, optimizing, and deploying deep neural networks.
- Ability to read and contextualize scientific papers and computer-vision literature.
- Ability to work effectively in a fast-paced, collaborative small-team environment.
Categories
ML EngineeringRobotics
About Skydio
Skydio builds autonomous drones, docking systems, and fleet management software for enterprise, public safety, and defense customers. It sells hardware with AI-based autonomy plus SaaS for fleet operations, inspections, and Drone-as-First-Responder programs. Founded in 2014 and headquartered in San Mateo, California, the company designs and assembles its products in the U.S., with manufacturing in Hayward, and its systems are used across utilities, law enforcement, and the U.S. military.