Autonomy Engineer - Deep Learning
Autonomy Engineer - Deep Learning
Autonomy Engineer - Deep Learning
Skydio
Skydio, a leader in autonomous flight technology and drone solutions, is seeking a Deep Learning Engineer to enhance their autonomy systems. The role focuses on applying deep learning to real-world challenges in computer vision, enabling drones to navigate and operate autonomously in various environments.
Qualification
- Strong background in deep learning and computer vision
- Experience with training and deploying deep learning models
- Proficiency in programming languages such as Python
- Familiarity with frameworks like TensorFlow or PyTorch
- Knowledge of data mining, curation, and labeling techniques
- Ability to work with large datasets and real-world sensor data
- Experience in solving complex problems related to autonomy and navigation
Responsibility
- Design, implement, and deploy computer vision and multimodal deep learning models for Skydio’s autonomy system
- Leverage massive amounts of real world video and other sensor data for data mining, curation, labeling, training and evaluation
- Train and deploy optimized models for optical flow estimation, stereo depth estimation, object detection, segmentation and tracking, visual place recognition, localization and mapping, few-shot learning, occupancy networks, and automated path planning
- Collaborate with cross-functional teams to integrate deep learning models into drone products
- Conduct experiments to evaluate model performance and iterate on designs based on results
