Autonomy Engineer - ML & DL Infrastructure

The role

You will build and scale the infrastructure that supports Skydio's DL and AI training efforts. You will work at the nexus of the autonomy and cloud teams to deliver new capabilities and empower AI/ML solutions.

What you will do

• Design and implement scalable, extensible, interactive data pipelines and annotation workflows
• Build tools that leverage state-of-the-art machine learning systems for efficient data exploration and curation
• Design and implement pipelines for data ingestion, versioning, model training, deployment and monitoring
• Optimize and scale deep learning training workflows to improve team iteration velocity
• Leverage expertise and best-practices to uphold and improve Skydio's engineering standards

Required qualifications

• Hands-on experience with data engineering and building large scale, performant and efficient data processing pipelines
• Hands-on experience with cloud-based ML platforms, containerization technologies, ML Ops platforms and databases
• Experience and understanding of security and compliance requirements in ML infrastructure
• Hands-on experience building and managing ML pipelines including data preparation, model training, model deployment and monitoring
• Ability to take a concept and systematically drive it through the software lifecycle: architecture, development, testing, deployment, and monitoring
• Comfortable navigating and delivering within a complex codebase
• Strong communication skills and the ability to collaborate effectively at all levels of technical depth

About the company

Skydio is the leading US drone company and the world leader in autonomous flight. The team combines expertise in artificial intelligence, hardware and software product development, operational excellence, and customer obsession.