Network Engineer - Data for Autonomous Systems

53 Stations; San Francisco (CA); On-site; USD 68,880 - 110,208; Full time

Job summary

53 Stations is seeking a Network Engineer to work onsite in the Bay Area. In this contract role, you'll blend your expertise in networking with data science to support autonomous infrastructure.

Your responsibilities include reviewing network data and defining structures for data pipelines. A strong candidate will have experience with enterprise networks and a curiosity about machine learning applications in networking.

This is an opportunity to contribute to the future of intelligent networking systems.

Qualifications

• Experience as a network engineer, ideally with enterprise networks.
• Comfortable interpreting logs, events, and time-series metrics.
• Curious about how raw infrastructure data supports machine learning.

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.

Skills

Network engineering

Data analysis

Interpreting logs

Tools

Firewalls

Switches

APs

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.