Backend Engineer, Models

The role

You will build backend systems and data infrastructure that connect physical networks to AI models. This includes designing scalable data pipelines, building APIs, and creating tools for model experimentation.

What you will do

• Design and develop scalable systems for ingesting, processing, storing, and accessing network data.
• Architect and operate reliable, high-performance backend systems and cloud infrastructure.
• Build interfaces that connect production network data with model workflows.
• Create data pipelines, datasets, and tooling for model engineers.
• Partner with model engineers and software teams to integrate AI capabilities into production infrastructure.
• Drive technical decisions from architecture and implementation through deployment and monitoring.

Required qualifications

• Engineers who have demonstrated exceptional ability through the systems they've built, the problems they've solved, and the ownership they've taken.
• People who are intellectually curious, technically ambitious, and motivated by the opportunity to build something that hasn't been done before.
• Engineers willing to work beyond the boundaries of a traditional job description, learn unfamiliar technologies, and collaborate across disciplines.

Nice to have

• Experience building infrastructure for ML training, evaluation, inference, or experimentation is valuable, but not required.
• Deep networking expertise is also not a prerequisite.

Benefits

• Meaningful equity ownership
• Comprehensive health coverage
• Flexible time off
• Additional benefits designed to support our team

About the company

Meter is building the next generation of networking infrastructure by designing hardware, software, and systems that power enterprise networks. They aim to build autonomous systems that can understand, diagnose, and operate real-world infrastructure.