openashbyhqsequoia
Network Engineer - Data for Autonomous Systems
Meter
LocationUnited States, San Francisco
WorkplaceRemote
EmploymentContract
Posted2025-07-23T18:13:32.946+00:00
Last observed2026-06-13 05:24:26.554966
Job idsequoia-meter:ashbyhq:81cb4af2-ec29-4edd-9819-e2b0d614c097
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.
This page is generated from the committed OpenOpps static snapshot. Use the source posting or apply link for the employer's current canonical posting state.