Field Infra Engineer for End-to-End ML Deployments

Actor; Mountain View (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Actor is seeking an infrastructure engineer to build and run the software stack on deployed hardware, manage the data pipeline, and maintain deployment tools across field sites. You will handle logging, telemetry, remote updates, and health services to keep machines running reliably.

You will own end-to-end data pipelines, enabling log collection from devices with limited connectivity, organizing data, and feeding training jobs for ML models.

Qualifications

• Experience building and operating production infrastructure.
• Proficiency in Python and at least one systems language on Linux.
• Familiarity with containers, CI/CD, object storage, databases, and monitoring.
• Experience handling data for ML workflows or willingness to learn.
• Willingness to travel to jobsites regularly.

Responsibilities

• Build and maintain software on deployed hardware, including logging, telemetry, remote updates, and health services.
• Own the data pipeline end-to-end: collect logs, store, process, and feed training jobs.
• Develop internal deployment management tools to track machine state and health.
• Lead deployments on site: install, configure, validate, and hand off for faster future deployments.
• Set up and maintain cloud and CI infrastructure tying the system together.

Skills

Production infra

Python

Systems programming

Linux

CI/CD

Containers

Object storage

Databases

Monitoring

ML data handling

Tools

SSH

Job description

Actor is seeking an infrastructure engineer to build and run the software stack on deployed hardware, manage the data pipeline, and maintain deployment tools across field sites. You will handle logging, telemetry, remote updates, and health services to keep machines running reliably.

You will own end-to-end data pipelines, enabling log collection from devices with limited connectivity, organizing data, and feeding training jobs for ML models.