# Autonomy Engineer - ML & DL Infrastructure

**Company:** [Skydio](https://hotfix.jobs/companies/skydio)
**Location:** San Mateo, CA
**Role:** ML Engineering
**Salary:** $170k – $278k/yr
**Skills:** Machine Learning, Deep Learning, Data Pipelines, Ml Ops, Kubernetes, Docker, Cloud Platforms, Data Engineering, Model Training, Model Deployment, Data Ingestion, Data Versioning, Monitoring, Containerization, Databases
**Posted:** 2026-05-07

> 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.

## Job Description

## 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

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