Skydio
Defense · Autonomous drones (civilian + defense)
- HQ
- Redwood City, US
- Founded
- 2014
- Website
- skydio.com
Defense · Autonomous drones (civilian + defense)
| Title | Stage | AI score |
|---|---|---|
| Autonomy Engineer Intern - Deep Learning (Computational Photography) Skydio is seeking an Autonomy Engineer Intern to focus on deep learning for computational photography in autonomous drones. The role involves designing, training, and deploying optimized models for real-time applications on embedded hardware, as well as for cloud deployment. Responsibilities include leveraging real-world and synthetic data, foundation models, and developing evaluation benchmarks. | Post-trainServe | 9 |
| Autonomy Engineer - Deep Learning Skydio is seeking an Autonomy Engineer - Deep Learning to train and deploy optimized deep learning models for their autonomous flight systems. The role involves designing, implementing, and deploying computer vision and multimodal deep learning models, leveraging real-world and synthetic data, and optimizing models for low-latency embedded hardware. The position requires an MS or PhD, hands-on experience with deep learning model deployment, and strong coding skills in Python/PyTorch and C++. |
| Post-trainServe |
| 9 |
| Autonomy Engineer - Deep Learning Skydio is seeking an Autonomy Engineer - Deep Learning to train and deploy optimized deep learning models for their autonomous flight systems. The role involves designing, implementing, and deploying computer vision and multimodal models, leveraging real-world and synthetic data, and optimizing models for embedded hardware. The ideal candidate has a strong background in deep learning, computer vision, and experience deploying models to production. | Post-trainServe | 9 |
| Senior Autonomy Engineer - Deep Learning Senior Autonomy Engineer focused on designing, implementing, and optimizing deep learning solutions for real-time object detection, tracking, segmentation, and optical flow estimation on drones. The role involves leveraging state-of-the-art methods like unsupervised learning and foundational models, curating synthetic data, and refining models for low-latency embedded hardware, with a strong emphasis on computer vision and robotics applications. | Post-trainServe | 9 |
| Autonomy Engineer Intern - Deep Learning (Computational Photography) The role focuses on designing, implementing, and deploying deep learning models for autonomous flight systems, with a specific emphasis on computational photography applications. It involves training and optimizing models for both embedded hardware and cloud deployment, using real-world and synthetic data, and developing evaluation benchmarks. | Post-trainServe | 8 |