Autonomy Engineer Intern - Deep Learning (Computational Photography)

About the role

We leverage breakthrough AI to create the world’s most intelligent flying machines for use by our enterprise, public safety, defense and other customers. Learning a semantic and geometric understanding of the world from best-in-class 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 aerial robots that can autonomously navigate in unknown environments and deliver operational value to users. Capture and processing of high quality visual data powered by computational photography models and algorithms are key to enabling enhanced camera capabilities and downstream applications such as inspection and mapping, ISR (intelligence, surveillance and reconnaissance) and public safety.

How you'll make an impact

• 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

What makes you a good fit

• 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