5 months ago
San Mateo, CA, USAMid Level
H1B sponsor
Base Salary
$170k - $278k/yr
Responsibilities
- Design and implement scalable, extensible, interactive data pipelines and annotation workflows.
- Build machine-learning-enabled tools for efficient data exploration and curation across Skydio’s drone fleet.
- 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.
- Collaborate across Skydio’s autonomy and cloud teams to deliver AI and ML capabilities.
Requirements
- Hands-on experience with data engineering and large-scale, performant data processing pipelines.
- Hands-on experience with cloud-based ML platforms, containerization technologies, MLOps platforms, and databases.
- Understanding of security and compliance requirements in ML infrastructure.
- Experience building and managing ML pipelines covering data preparation, model training, model deployment, and monitoring.
- Ability to drive concepts through architecture, development, testing, deployment, and monitoring within the software lifecycle.
- Comfort navigating and delivering within a complex codebase.
- Strong communication and collaboration skills across different levels of technical depth.
- FAA Part 107 certification is strongly encouraged within the first 60 days and required for certain positions.
Benefits
- Equity in the form of stock options
- Comprehensive health insurance plans
- Paid vacation time, sick leave, and holiday pay
- 401K savings plan
- Relocation assistance may be provided for eligible roles
Categories
Data EngineeringML Engineering
About Skydio
Skydio builds autonomous drones, docking systems, and fleet management software for enterprise, public safety, and defense customers. It sells hardware with AI-based autonomy plus SaaS for fleet operations, inspections, and Drone-as-First-Responder programs. Founded in 2014 and headquartered in San Mateo, California, the company designs and assembles its products in the U.S., with manufacturing in Hayward, and its systems are used across utilities, law enforcement, and the U.S. military.