Meter

Meter

Backend Engineer, Models

San Francisco

Sponsorship not specified$160k-$230kDetected 453 days ago
PythonGoPostgreSQLAWSAzureCI/CDKafkaA/B TestingResearch

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odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level I · 1×
Level I$137,0931 entry
Level II$165,1312 entries
Level III$193,1493 entries
Level IV$221,1874 entries

$5,131 more — $165,131 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $165,131 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

6 transfer filings in the last year, covering 6 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • ABOUT METER Networking is one of the most fundamental industries in all of technology.
  • 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.

Responsibilities

  • Design and implement the Models API: a unified interface for accessing training, evaluation, and deployment data across raw, transformed, and feature-engineered layers
  • Build scalable pipelines for ingesting, transforming, and serving petabytes of data across Kafka, Postgres, and Clickhouse
  • Create CI/CD workflows that evolve the API in lockstep with changes to the underlying data schema
  • Collaborate with modelers to co-design training and evaluation pipelines that are reproducible, debuggable, and fast
  • Own performance across key endpoints to meet real-time serving constraints
  • Think deeply about schema design, versioning, and data quality
  • Thrive in early-stage environments and like building from scratch
  • But without careful infrastructure design, this data becomes fragmented, stale, or inconsistent.
  • You'll own the core data interface that powers our model development, experimentation, evaluation, and real-time inference.

Compensation

  • Annual memberships to One Medical, Headspace, and Wellhub
  • We think about Meter's compensation package as a combination of salary, equity, benefits, and the experience of working with a talented team to make the biggest impact of your career.
  • The estimated salary range for this role is $160,000 - $230,000 depending on experience, and it is eligible for equity in Meter.

Benefits

  • Medical, dental & vision coverage for you and your dependents
  • Flexible time off
  • Commuter benefits
  • Parental leave

Company info

  • 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.

This listing is sourced directly from Meter's careers page and normalized into a canonical job model.