Network Engineer - Data for Autonomous Systems

Meter; San Francisco (CA); On-site; USD 68,880 - 137,760; Full time

Job summary

A forward-thinking technology company in San Francisco is seeking a network engineer for a contract role. This position blends network engineering with data science to structure and annotate data for autonomous infrastructure. The ideal candidate will have experience with enterprise networking gear, an understanding of logs and telemetry, and a curiosity for machine learning applications. You will review data from networks, label behaviors, and define schemas for large data pipelines. Compensation ranges from $50 to $100 per hour, based on experience.

Qualifications

• Experience with enterprise networks including switches, access points, and firewalls.
• Comfortable interpreting logs, events, and metrics in time-series.
• Curiosity about transforming infrastructure data into machine learning inputs.

Responsibilities

• Review logs, configs, telemetry, and event streams from deployed networks.
• Label and classify key behaviors and issues in real-world data.
• Define data schemas and structures for large-scale data pipelines.

Skills

Network engineering experience

Log interpretation

Data pipeline understanding

Anomaly detection

Job description

Overview

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.

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

Qualifications

• 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.