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SkydioSkydioSan Mateo, CA

Senior Autonomy Engineer - Deep Learning

Develops real-time deep learning models for drone autonomy, focusing on detection, tracking, segmentation, and optical flow using visual data. Requires hands-on experience with deep neural networks, computer vision, Python/C++, and model optimization for embedded hardware.

170k – 278k/yr
HybridML Engineering

About the role

How you'll make an impact

  • 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

What makes you a good fit

  • Demonstrated hands-on experience creating and deploying deep learning models
  • Experience curating synthetic and real-world image datasets
  • Solid software engineering foundation and commitment to writing clean, well-architected code (Python or C++, preferably both)
  • Real experience prototyping, training, optimizing, and deploying deep neural networks
  • Ability to read and contextualize scientific papers and literature in computer vision
  • Ability to thrive in a fast paced, collaborative, small team environment

Compensation

Annual base salary range: $170,000 - $277,500. Includes equity (stock options), comprehensive benefits, paid vacation, sick leave, holidays, 401K.

Skills

Deep LearningComputer VisionPythonC++PyTorchTensorFlowObject DetectionTrackingSegmentationOptical FlowUnsupervised LearningFew-Shot LearningFoundational ModelsEmbedded SystemsNeural Networks

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