Autonomy Engineer - Deep Learning

The role

You will design, implement, and deploy computer vision and multimodal deep learning models for Skydio's autonomy system. This involves leveraging real world and synthetic data to solve problems like object detection, segmentation, and path planning.

What you will do

• Design, implement, and deploy computer vision and multimodal deep learning models
• Leverage real world video and sensor data for mining, curation, labeling, training and evaluation
• Leverage large scale and diverse synthetic data to power deep learning algorithms
• Leverage state-of-the-art foundation models for knowledge distillation and label efficient learning
• Refine and optimize models for low-latency on embedded hardware
• Develop evaluation benchmarks and metrics to quantify performance
• Be a generalist helping out on all aspects of the software when needed

Required qualifications

• M.S. or Ph.D. in computer science, electrical engineering or related discipline
• Demonstrated hands-on experience designing, training and deploying deep learning models
• Ability to deliver high quality, well-architected code (Python/PyTorch)
• Ability to leverage state-of-the-art academic papers and literature for fast iteration
• Ability to thrive in a fast paced, collaborative and highly technical team environment
• Comfortable navigating and delivering within a complex codebase
• Strong communication skills

Nice to have

• C++

About the company

Skydio is the leading US drone company and the world leader in autonomous flight. The team combines expertise in artificial intelligence, hardware and software product development, operational excellence, and customer obsession.