Autonomy Engineer - Deep Learning

Skydio · Defense · Zurich, Switzerland · R&D

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.

What you'd actually do

  1. Design, implement, and deploy computer vision and multimodal deep learning models for Skydio’s autonomy system
  2. Leverage massive amounts of real world video and other sensor data for data mining, curation, labeling, training and evaluation
  3. Leverage large scale and diverse synthetic data to power deep learning algorithms
  4. Leverage state-of-the-art foundation models for knowledge distillation and label efficient learning
  5. Refine and optimize models for low-latency on embedded hardware

Skills

Required

  • 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 and preferably, C++)
  • 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

What the JD emphasized

  • training and deploying optimized models
  • real-time deep networks
  • low-latency on embedded hardware

Other signals

  • real-time deep networks
  • autonomous flight
  • intelligent aerial robots