Autonomy Engineer - ML & DL Infrastructure

📋 Description

• Design and implement scalable data pipelines and annotation workflows
• Build tools for efficient data exploration and curation across Skydio drones
• Design and implement pipelines for data ingestion, versioning, model training, deployment
• Optimize and scale deep learning training workflows
• Uphold and improve Skydio’s engineering standards

🎯 Requirements

• Hands-on data engineering for large-scale, efficient data pipelines
• Cloud-based ML platforms, containerization, ML Ops, and databases
• Security and compliance requirements in ML infrastructure
• Building and managing ML pipelines: data prep, training, deployment, monitoring
• Drive concepts through architecture, development, testing, deployment, and monitoring
• FAA Part 107 certification within 60 days is encouraged for eligible roles

🎁 Benefits

• Competitive base salary and equity options
• Comprehensive benefits and health insurance
• Relocation assistance may be provided
• Paid vacation, sick leave, holidays
• 401K savings plan