Autonomy Engineer Intern - Deep Learning (computational Photography)

Skydio Skydio · Defense · San Mateo, CA +1 · R&D

Skydio is seeking an Autonomy Engineer Intern to focus on deep learning for computational photography in autonomous drones. The role involves designing, training, and deploying optimized models for real-time applications on embedded hardware, as well as for cloud deployment. Responsibilities include leveraging real-world and synthetic data, foundation models, and developing evaluation benchmarks.

What you'd actually do

  1. Design, implement and deploy deep learning models with a particular focus on computational photography applications such as super-resolution, multi-frame denoising, low light imaging, High Dynamic Range (HDR) imaging etc.
  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

  • Python/PyTorch
  • deep learning models
  • computational photography
  • computer vision
  • autonomy

Nice to have

  • C++
  • PyTorch
  • super-resolution
  • multi-frame denoising
  • low light imaging
  • High Dynamic Range (HDR) imaging
  • multimodal scene understanding
  • optical flow and range estimation
  • object detection
  • segmentation and tracking
  • visual localization and mapping
  • few-shot learning
  • automated path planning
  • synthetic data
  • foundation models
  • knowledge distillation
  • label efficient learning
  • cloud-based deployment
  • evaluation benchmarks

What the JD emphasized

  • training and deploying optimized models
  • low-latency on embedded hardware

Other signals

  • deep learning models
  • computational photography
  • autonomous flight
  • real-time deep networks
  • embedded hardware