Network Engineer - Data for Autonomous Systems
TLDR
Blend hands-on networking expertise with data pipelines to label, annotate, and structure telemetry and logs for AI-powered autonomous networking systems.
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.
Meter builds innovative networking infrastructure tailored for businesses, combining custom enterprise hardware and intuitive software to deliver seamless, reliable connectivity. With a focus on reducing complexity and enhancing operational efficiency, Meter’s vertically integrated solution helps companies like Lyft and Reddit stay online and perform at their best.
- Founded
- Founded 2015
- Employees
- 51-200 employees
- Industry
- Diversified Telecommunication Services
- Total raised
- $50M raised