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SkydioSkydioSan Mateo, CA

Autonomy Engineer - ML & DL Infrastructure

Builds and scales ML/DL infrastructure including data pipelines, annotation workflows, training, deployment, and monitoring for autonomous drone systems. Requires hands-on experience in data engineering, cloud ML platforms, containerization, and MLOps.

170k – 278k/yr
HybridML Engineering

About the role

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

What Makes You a Good Fit

  • 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
  • Demonstrated 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

Compensation

  • Annual base salary range: $170,000 - $277,500
  • Equity in the form of stock options
  • Comprehensive benefits: group health insurance, paid vacation, sick leave, holiday pay, 401K savings plan
  • Relocation assistance may be provided

Skills

Machine LearningDeep LearningData PipelinesMl OpsKubernetesDockerCloud PlatformsData EngineeringModel TrainingModel DeploymentData IngestionData VersioningMonitoringContainerizationDatabases

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