5 months ago
Zürich, SwitzerlandMid Level
Responsibilities
- Design, implement, and deploy computer vision and multimodal deep learning models for the autonomy system.
- Mine, curate, label, train, and evaluate models using real-world video and sensor data.
- Use large-scale synthetic data to support deep learning algorithms.
- Use foundation models for knowledge distillation and label-efficient learning.
- Refine and optimize models for low-latency execution on embedded hardware.
- Develop evaluation benchmarks and metrics for autonomous systems.
- Contribute as a software generalist across the codebase when needed.
Requirements
- M.S. or Ph.D. in computer science, electrical engineering, or a related discipline.
- Hands-on experience designing, training, and deploying deep learning models.
- Ability to write high-quality, well-architected code using Python and PyTorch; C++ is preferred.
- Ability to use academic papers and technical literature to iterate quickly.
- Comfort working within a complex codebase and a fast-paced, collaborative, highly technical environment.
- Strong communication skills.
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.