Autonomy Engineer - ML & DL Infrastructure

About the role

Skydio is the leading US drone company and the world leader in autonomous flight. We leverage breakthrough AI to create the world's most intelligent flying machines for use by our enterprise, public safety, defense and other customers. Learning a semantic and geometric understanding of the world from best-in-class visual data is the core of our autonomy system. We are pushing the boundaries of what is possible with deep networks, AI and ML to accelerate progress in intelligent aerial robots that can autonomously navigate in unknown environments and deliver operational value to users.

Responsibilities

• 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 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
• Leverage your expertise and best-practices to uphold and improve Skydio’s engineering standards

Requirements

• Demonstrated hands-on experience with data engineering and building large scale, performant and efficient data processing pipelines
• Demonstrated 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
• Demonstrated hands-on experience building and managing ML pipelines including data preparation, model training, model deployment and monitoring
• You have demonstrated ability to take a concept and systematically drive it through the software lifecycle: architecture, development, testing, and deployment, and monitoring
• You are comfortable navigating and delivering within a complex codebase
• Strong communication skills and the ability to collaborate effectively at all levels of technical depth

Qualifications

• Obtaining FAA Part 107 certification within the first 60 days of employment is strongly encouraged for all Skydio employees and required for certain positions.

Skills

• 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
• Understanding of security and compliance requirements in ML infrastructure
• Experience and understanding of security and compliance requirements in ML infrastructure
• 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, and 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

Benefits

• Competitive base salary
• Equity in the form of stock options
• Comprehensive benefits package
• Paid vacation time
• Sick leave
• Holiday pay
• 401K savings plan

Pay

The annual base salary range for this position is $170,000 - 277,500*

Schedule

Full-time

Benefits

• Relocation assistance may also be provided for eligible roles.

Equal Opportunity Employer

We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws.

Location

San Mateo, California, United States

Job ID / Requisition Number

N/A

Company

Skydio

Employment Type

Regular, Full-Time

Compensation

Compensation for certain positions may vary based on the position’s location.

Additional Information

This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company’s policies and eligibility criteria.

Legal Compliance

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