Autonomy Engineer - ML & DL Infrastructure

Skydio Inc.; San Mateo (CA); On-site; USD 170,000 - 277,500; Full time

Benefits offered by this job

Equity in the form of stock options

Comprehensive benefits package

Relocation assistance may be provided

Job summary

Skydio Inc. in San Mateo, California is looking for a Deep Learning Infrastructure Engineer to build and scale their AI training infrastructure. The role involves designing data pipelines, building tools for ML systems, and optimizing deep learning workflows. Candidates should have experience with data engineering, cloud-based platforms, and ML management, alongside strong communication skills. Competitive salary from $170,000 to $277,500, equity benefits, and a comprehensive benefits package available.

Qualifications

• Hands-on experience with data engineering and building large-scale data processing pipelines.
• Experience managing ML pipelines including data preparation, model training, deployment, and monitoring.
• Strong communication skills and the ability to collaborate effectively.

Responsibilities

• Design and implement scalable data pipelines and annotation workflows.
• Build tools leveraging state-of-the-art ML systems for data exploration.
• Optimize and scale deep learning training workflows.

Skills

Data engineering

Cloud-based ML platforms

Containerization technologies

ML Ops platforms

Communication skills

Security and compliance in ML

Job description

San Mateo, California, United States - Full-time

Skydio is the leading U.S. drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in‑class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders and soldiers in battlefield scenarios, and beyond.

Role Overview

We are looking for a Deep Learning Infrastructure Engineer to build and scale the infrastructure that supports Skydio’s deep learning and AI training efforts. The engineer will collaborate closely with the autonomy and cloud teams to deliver new capabilities and empower AI/ML solutions.

Key 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.
• Develop data ingestion, versioning, model training, deployment, and monitoring pipelines.
• Optimize and scale deep learning training workflows to improve team iteration velocity.
• Apply best practices to uphold and improve Skydio’s engineering standards.

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.
• Understanding of security and compliance requirements in ML infrastructure.
• Experience managing ML pipelines, including data preparation, model training, deployment, and monitoring.
• Demonstrated ability to drive a concept 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.
• Obtaining FAA Part 107 certification within the first 60 days of employment is strongly encouraged for all Skydio employees and required for certain positions.

Compensation and Benefits

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

• Competitive base salary.
• Equity in the form of stock options.
• Comprehensive benefits package, including paid vacation time, sick leave, holiday pay, and a 401(k) savings plan.
• Relocation assistance may be provided for eligible roles.

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

Equal Employment Opportunity

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 any other characteristic protected by federal, state, or local anti‑discrimination laws.

For positions located in the United States of America, Skydio, Inc. uses E‑Verify to confirm employment eligibility.