Autonomy Engineer - Deep Learning

Stack

Responsibilities

• ▹Design, implement, and deploy computer vision and multimodal deep learning models for Skydio's autonomy system
• ▹Leverage massive amounts of real-world video and sensor data for data mining, curation, labeling, training and evaluation
• ▹Leverage large-scale, 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 autonomous system performance
• ▹Act as a generalist, helping across all aspects of the software when needed

Requirements

• ▹M.S. or Ph.D. in Computer Science, Electrical Engineering, or a related discipline
• ▹Demonstrated hands-on experience designing, training, and deploying deep learning models
• ▹Ability to deliver high-quality, well-architected code (Python/PyTorch, C++ preferred)
• ▹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

Soft skills

About the company

Skydio is the leading US drone company and the world leader in autonomous flight, combining deep AI expertise with best-in-class hardware and software development to serve a broad range of drone users, from utility inspectors to first responders and military applications.