Backend Engineer, Models

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Work mode

Onsite From the posting source checked Jun 20, 2026

In-office days

5 days From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Backend Engineer, Models San Francisco | OnSite ABOUT METER Networking is one of the most fundamental industries in all of technology. For the first time, Meter has unified the full networking stack; and now we are making it autonomous. We are building a neural network-driven system for reasoning in raw computer networks to solve any and all networking problems. As described on https://www.meter.aiMeter.ai http://Meter.ai, we're building models in a closed-loop system that takes (as input) real-time telemetry, logs, and events on the network to autonomously troubleshoot, improve performance, and resolve issues. To make this possible, we don't just need great models; we need infrastructure that gives those models clean, versioned, low-latency access to the right data, across training, evaluation, and deployment. WHY THIS ROLE MATTERS Every Meter network deployed in the field is a rich data source for our Models team. But without careful infrastructure design, this data becomes fragmented, stale, or inconsistent. Your job is to make sure that never happens. You'll own the core data interface that powers our model development, experimentation, evaluation, and real-time inference. This is a foundational role with outsized impact. Your work will define how quickly we can train new models, how reliably we can evaluate them, and how seamlessly they can operate in production across hundreds of real-world networks. You'll partner tightly with modelers to ship systems that feel elegant, scalable, and bulletproof. WHAT YOU'LL DO - Design and implement the Models API: a unified interface for accessing training, evaluation, and deployment data

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