Autonomy Engineer - ML & DL Infrastructure

Skydio
Zurich
Workplace: HybridFull timeFunction: Software EngineeringSkills: ["Communication","Collaboration","Problem-solving"]

Join Skydio’s ML infrastructure team to design and scale data pipelines, annotation workflows, and DL training infrastructure for autonomous drones. Build tools for data exploration, manage ingestion/versioning/training/deployment pipelines, and optimize training workloads across cloud and on‑prem environments. Collaborate with autonomy and cloud teams to raise engineering standards and accelerate AI/ML development for real‑world drone applications.

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FursaFursa
Skydio
Skydio
3 months ago

Autonomy Engineer - ML & DL Infrastructure

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Last checked: 4 hours agoStatus: Live

Job Summary

Join Skydio’s ML infrastructure team to design and scale data pipelines, annotation workflows, and DL training infrastructure for autonomous drones. Build tools for data exploration, manage ingestion/versioning/training/deployment pipelines, and optimize training workloads across cloud and on‑prem environments. Collaborate with autonomy and cloud teams to raise engineering standards and accelerate AI/ML development for real‑world drone applications.
Location: Zurich
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering

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
  • •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

Key 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
  • •Ability to take a concept and drive it through the software lifecycle: architecture, development, testing, deployment, and monitoring
Experience:Ai/mlDronesCloud
Skills:CommunicationCollaborationProblem-solving
Tech Stack:PythonDockerKubernetesMLflowTensorFlowPyTorchAWSGCPAzureCI/CDETLData pipelines

Company Brief

Skydio
Designs and manufactures autonomous consumer and enterprise drones using AI-powered vision and navigation systems for inspection, mapping, public safety, and industrial applications. Focuses on rugged, fully autonomous flight and end-to-end drone solutions.
Industry: Drones & Aerial Logistics
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: San Mateo, United States
Founded: 2014
WebsiteLinkedIn