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Senior Autonomy Engineer (Deep Learning)

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Onsite

Senior Autonomy Engineer (Deep Learning)

Skydio

Senior Autonomy Engineer (Deep Learning)

Skills

Deep LearningPythonMachine Learning

2 months ago

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Important information


Contract type:

Permanent

Salary:

$170,000 – $277,500 / year

Location:

United States

Work mode:

Onsite

Published on:

29 August 2026

What they need


  • Learning a semantic and geometric understanding of the world from visual data is the core of our autonomy system
  • We are pushing the boundaries of what is possible with real-time deep networks to accelerate progress in intelligent mobile robots
  • Design and implement deep learning solutions that solve detection, tracking, segmentation, and optical flow estimation tasks in real-time on Skydio drones
  • Leverage state-of-the-art methods in unsupervised learning, few shot learning, and foundational models for data efficient ML
  • Curate and enhance synthetic data that powers our deep learning algorithms along with massive amounts of structured video data
  • Refine and optimize models for low-latency on embedded hardware
  • Characterize and quantify the performance of the vision systems
  • Research and prototype new approaches
  • Be a generalist helping out on all aspects of the software when needed- Ability to read and contextualize scientific papers and literature in computer vision
  • Solid software engineering foundation and commitment to writing clean, well-architected code (in Python or C++, preferably both)
  • Demonstrated hands-on experience creating and deploying deep learning models
  • Ability to thrive in a fast paced, collaborative, small team environment
  • Real experience prototyping, training, optimizing, and deploying deep neural networks
  • Experience curating synthetic and real-world image datasets
  • If you are excited about solving open-end problems in object detection and tracking, motion prediction, flow estimation, and total scene understanding, while leveraging massive amounts of structured video data, we would love to hear from you

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