Autonomy Engineer Intern - Deep Learning… at Skydio · San Mateo

Summary: Skydio is the leading US drone company and the world leader in autonomous flight. The role involves training and deploying optimized models for solving complex problems in deep learning, particularly focused on computational photography and autonomous navigation. Responsibilities: - 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 - Leverage massive amounts of real world video and other sensor data for data mining, curation, labeling, training and evaluation - Leverage large scale and 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 - Refine and optimize models for cloud-based deployment in latency tolerant applications - Develop evaluation benchmarks and metrics to quantify the performance of autonomous systems - Be a generalist helping out on all aspects of the software when needed Required Qualifications: - 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 Required Skills: Deep Learning, Computational Photography, Super-resolution, Multi-frame Denoising, Low Light Imaging, High Dynamic Range Imaging, Optical Flow, Range Estimation, Object Detection, Segmentation, Tracking, Visual Localization, Mapping, Few-shot Learning, Automated Path Planning, Python, PyTorch, C++, Model Training, Model Deployment, Data Mining, Data Curation, Data Labeling, Model Optimization, Embedded Hardware, Cloud Deployment, Evaluation Benchmarks, Metrics Development