Autonomy Engineer - ML & DL Infrastructure

Stack

Responsibilities

• ▹Design and implement scalable, extensible, interactive data pipelines and annotation workflows
• ▹Build tools for efficient data exploration and curation across the fleet of Skydio drones
• ▹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
• ▹Uphold and improve Skydio's engineering standards

Requirements

• ▹Demonstrated hands-on experience with data engineering and building large-scale, performant data pipelines
• ▹Demonstrated hands-on experience with cloud-based ML platforms, containerization technologies, MLOps platforms and databases
• ▹Understanding of security and compliance requirements in ML infrastructure
• ▹Demonstrated experience building and managing ML pipelines including data preparation, training, deployment and monitoring
• ▹Demonstrated ability to systematically drive a concept through the software lifecycle: architecture, development, testing, deployment and monitoring

Nice to have

• ▹Comfort navigating and delivering within a complex codebase

Soft skills

What we offer

• ▹Competitive base salary and equity in the form of stock options
• ▹Comprehensive health insurance plans
• ▹Paid vacation, sick leave and holiday pay
• ▹401K savings plan

About the company

Skydio is the leading US drone company and the world leader in autonomous flight, leveraging breakthrough AI to build the world's most intelligent flying machines for enterprise, public safety and defense customers.