Machine Perception Engineer focusing on vision systems deployment for maritime environments. Leading design and training of perception models for autonomous vessels.
SK
Hybrid Autonomy Engineer Intern – Deep Learning, Computational Photography
Posted 2 minutes ago
About the role
- Deep Learning Engineer Intern at Skydio developing AI solutions for autonomous drones and aerial mobility. Focus on deep learning models and computational photography applications in hybrid work environment.
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
Requirements
- 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
Benefits
- N/A
Job title
Job type
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Not specified
Degree requirement
Tech skills
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