Autonomy Engineer - Deep Learning Infrastructure
Skydio, San Mateo, California
The role
If you are excited about leveraging massive amounts of structured video data to solve problems in Computer Vision (CV) such as object detection and tracking, optical flow estimation and segmentation, we would love to hear from you.
What you need
- Demonstrated hands-on experience with MLOps, ML inference optimization and edge deployment
- Strong knowledge of DL fundamentals, techniques and state-of-the-art DL models/architectures
- Strong fundamentals in CV, image processing and video processing
- Demonstrated hands-on experience building and managing ML pipelines for solving vision or vision language tasks including data preparation, model training, model deployment and monitoring
- Experience and understanding of security and compliance requirements in ML infrastructure
- Experience with ML frameworks and libraries