Contract role: 3 to 6 month contract to hire
Location: Onsite Bay Area
Compensation: $50-100 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.) - Must Have
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.
Top Skills
What We Do
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.
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