Computer networking • hesperia ca
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Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform.AI labs and enterprises use micro1 to train models and build reliable AI agents th...Show more
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Are you a network engineer who’s curious about data science and wants to work at the intersection of infrastructure and intelligence? Our client is building vertically integrated networking systems...Show more
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The average salary range is between $ 42,900 and $ 134,514 year , with the average salary hovering around $ 59,667 year .
Are you a network engineer who also enjoys scripting or programming—and is curious about how data powers intelligent systems? Our client is building vertically integrated networking systems and leveraging the data they generate to power the next generation of autonomous infrastructure.
They’re looking for engineers with a strong foundation in network engineering and hands-on programming ability to help structure, label, and operationalize network data for AI systems. This is a hands-on role at the intersection of infrastructure, data pipelines, and machine learning , where your work will directly influence how intelligent systems understand and operate real-world networks. * * * ### In this role, you’ll : - Review real-world data from deployed networks (logs, configurations, telemetry, event streams) - Label, classify, and analyze network behaviors, issues, and anomalies - Write scripts / tools to process, clean, and transform network data - Help define schemas and structure for large-scale data pipelines - Collaborate closely with the client team to improve data quality and usability for ML systems * * * ### You’re a strong fit if you : - Have experience working as a network engineer , ideally with enterprise networks (switches, APs, firewalls, etc.) — _Must Have_ - Have programming or scripting experience (e.g., Python, Bash, or similar) — _Must Have_ - Are comfortable interpreting logs, events, and time-series metrics - Have experience automating workflows or working with data pipelines (nice to have) - Are curious about how raw infrastructure data becomes machine learning input - Are excited to contribute to the future of autonomous networking systems ### Role Details : - Location : San Francisco, CA (primarily in-person; higher in-office expectation than typical network engineering roles) - Commitment : Full-time - Collaboration : You will work directly with the client team
