Hybrid Autonomy Engineer – Deep Learning

at Skydio

• Job title: Autonomy Engineer – Deep Learning
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $170,000 - $277,500 per year
• Degree requirement: Postgraduate Degree
• Tech skills: Python, PyTorch
• Location requirements: Hybrid, San Mateo, United States

About the role

• Deep Learning Engineer at Skydio, leading AI applications to enhance autonomous flight technology and solve computer vision challenges. Collaborate on complex projects in a fast-paced environment.

Responsibilities

• Design, implement, and deploy computer vision and multimodal deep learning models for Skydio’s autonomy system
• 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
• 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

• Paid vacation time
• Sick leave
• Holiday pay
• 401K savings plan
• Group health insurance plans