Autonomy Engineer - ML & Dl Infrastructure

Skydio · Defense · San Mateo, CA +1 · R&D

ML/DL Infrastructure Engineer responsible for building and scaling the infrastructure supporting AI/ML training efforts, including data pipelines, annotation workflows, and training optimization, with a focus on autonomous flight systems for drones.

What you'd actually do

  1. Design and implement scalable, extensible, interactive data pipelines and annotation workflows
  2. Build tools that leverage state-of-the-art machine learning systems for efficient data exploration and curation across the fleet of Skydio drones
  3. Design and implement pipelines for data ingestion, versioning, model training, deployment and monitoring
  4. Optimize and scale deep learning training workflows to improve team iteration velocity
  5. Leverage your expertise and best-practices to uphold and improve Skydio’s engineering standards

Skills

Required

  • data engineering
  • building large scale, performant and efficient data processing pipelines
  • cloud-based ML platforms
  • containerization technologies
  • ML Ops platforms
  • databases
  • building and managing ML pipelines including data preparation, model training, model deployment and monitoring
  • take a concept and systematically drive it through the software lifecycle: architecture, development, testing, and deployment, and monitoring
  • navigating and delivering within a complex codebase
  • communication skills
  • collaborate effectively

Nice to have

  • understanding of security and compliance requirements in ML infrastructure

What the JD emphasized

  • building and scaling the infrastructure that supports Skydio’s DL and AI training efforts
  • data engineering and building large scale, performant and efficient data processing pipelines
  • cloud-based ML platforms, containerization technologies, ML Ops platforms and databases
  • ML pipelines including data preparation, model training, model deployment and monitoring

Other signals

  • building and scaling the infrastructure that supports Skydio’s DL and AI training efforts
  • design and implement scalable, extensible, interactive data pipelines and annotation workflows
  • optimize and scale deep learning training workflows