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Network Engineer - Data for Autonomous Systems

Role overview

Qualifications

  • Experience working as a network engineer, ideally with enterprise networks (switches, APs, firewalls, etc.)
  • Comfortable interpreting logs, events, and time-series metrics
  • Curious about how raw infra data becomes machine learning input

Responsibilities

  • Review real-world data from deployed networks: logs, configs, telemetry, event streams
  • Label and classify key behaviors, issues, and anomalies
  • Help define schemas and structure for large-scale data pipelines

Key facts

Other skills

  • Curiosity

About the company

Meter logo

Meter

Internet Service Providers (ISPs)

Meter provides internet infrastructure for businesses. Headquartered in San Francisco, we were founded in 2015 to build enterprise-grade networks that are faster, more accessible, and more secure. Our full-stack approach combines hardware, software, and operations so that any company can seamlessly run on a reliable and modern network. We believe the internet is a fundamental utility that businesses should be able to turn on as easily as water and electricity. Our team includes people who have helped scale successful companies and recent graduates who are eager to learn and build. We’re looking for people who are excited to work on interesting problems, enjoy learning from and helping each other, and above all, are kind and ambitious. We’re building for the long term, and we’re just getting started.

Company details

Company typeScaleup
IndustryInternet Service Providers (ISPs)
Company size51 - 200

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Job description

Contract role: 3 to 6 month contract to hire
Location: Onsite Bay Area
Compensation: $50-80 per hour (based on experience)

Are you a network engineer who’s curious about data science and wants to work at the intersection of infrastructure and intelligence?

At Meter, we’re building vertically integrated networking systems and now we’re using the data they generate to power the next generation of autonomous infrastructure. We’re looking for network engineers to help us label, annotate, and structure the data flowing through our systems.

This is a hands-on role that blends your knowledge of networks with a growing understanding of how data pipelines are built and used in AI systems.

In this role, you’ll:

  • Review real-world data from deployed networks: logs, configs, telemetry, event streams

  • Label and classify key behaviors, issues, and anomalies

  • Help define schemas and structure for large-scale data pipelines

You’re a strong fit if you:

  • Have experience working as a network engineer, ideally with enterprise networks (switches, APs, firewalls, etc.)

  • Are comfortable interpreting logs, events, and time-series metrics

  • Are curious about how raw infra data becomes machine learning input

  • Want to contribute to the future of autonomous networking systems

Your work will directly feed into the pipelines that power Meter’s AI models, and help shape how intelligent systems reason about networks in the real world.

Apply once. Then go straight to the hiring manager.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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