> Markdown version of [/jobs/ext/2709124-autonomy-engineer-ml-dl-infrastructure](https://www.wearedevelopers.com/jobs/ext/2709124-autonomy-engineer-ml-dl-infrastructure). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Autonomy Engineer - ML & DL Infrastructure - **Company:** Skydio, Inc. - **Location:** San Mateo, United States - **Salary:** $170,000.0 - $277,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Cloud Computing, Databases, Data Cleansing, Information Engineering, Machine Learning, Cisco Nexus Switches, Object Detection, Azure Machine Learning, Software Engineering, Management of Software Versions, Data Ingestion, Deep Learning, Containerization, Build Tools, Machine Learning Operations - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/autonomy-engineer-ml-dl-infrastructure-skydio-com-8080965 ## About the Role * 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 * Obtaining FAA Part 107 certification within the first 60 days of employment is strongly encouraged for all Skydio employees and required for certain positions. ## Description 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. If you are excited about leveraging massive amounts of structured video data to solve open problems in object detection and tracking, optical flow estimation and segmentation, we would love to hear from you. As a deep learning infrastructure engineer, you will be responsible for building and scaling the infrastructure that supports Skydio's DL and AI training efforts. You will be working at the nexus of Skydio's autonomy and cloud teams to deliver new capabilities and empower AI/ML solutions at Skydio. How You'll Make an Impact: * 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 ## Related Videos - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution](https://www.wearedevelopers.com/videos/22-how-to-develop-an-autonomous-car-end-to-end-robotic-drive-and-the-mobility-revolution) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)