Backend Engineer, Models

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 were 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 dont 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. Youll 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. Youll partner tightly with modelers to ship systems that feel elegant scalable and bulletproof.

What youll do

• Design and implement the Models API: a unified interface for accessing training evaluation and deployment data across raw transformed and feature-engineered layers

• Ensure backwards compatibility and feature versioning across constantly evolving schemas

• 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

• Enable fine-grained querying of historical and real-time data for any network at any point in time

• Help define and enforce the principle of smart data dumb functions: doing as much as possible in the data layer to keep downstream code minimal

• 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

You may be a fit if you:

• Have experience designing large-scale data infrastructure ideally across batch and streaming modes

• Think deeply about schema design versioning and data quality

• Care about making systems simple to use and hard to misuse

• Enjoy partnering closely with research or modeling teams

• Thrive in early-stage environments and like building from scratch

Stack we use

• Kafka Postgres Clickhouse

• Python Go

• AWS Azure

Compensation

We think about Meters 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 $160000 - $230000 depending on experience and it is eligible for equity in Meter. We also offer:

• Medical dental & vision coverage for you and your dependents

• Annual memberships to One Medical Headspace and Wellhub

• 401k (traditional and Roth options)

• Flexible time off

• Commuter benefits

• Parental leave

• Onsite meals (San Francisco office)

Required Experience:

IC