Model Engineer - Member of Technical Staff
Company: Meter
Location: San Francisco
Posted on: April 2, 2026
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Job Description:
Build the AI infrastructure layer of the physical world At
Meter, we’re doing something very few teams can: applying frontier
AI to reinvent how the internet itself is built, monitored, and
managed. We’ve achieved vertical integration of the entire
enterprise networking stack: hardware, firmware, operating systems,
and operations. This gives us full-stack visibility, the ability to
control any part of the stack through a single API, a proprietary
dataset no one else has, and a clear path to end-to-end automation.
Plus, our systems already serve Fortune 500 companies, schools,
factories, and cloud-scale clients. Now, we’re assembling a
founding core engineering team to build and train models that
understand these systems, optimize operations, anticipate failures,
and repair issues before humans even notice them. In sum, building
the decision layer to the infrastructure the modern world runs on.
You’ll work directly with our founders and help define the future
of one of the most impactful applications of models today. See more
at meter.ai . Why this role is rare Core ground floor impact : You
won’t be joining a large org with a fixed roadmap, you’ll shape the
roadmap. You’ll define modeling approaches, team culture, and
long-term vision alongside our executive team. Real-world systems
frontier AI : This isn’t chatbot optimization. You’ll be building
models that power fundamental infrastructure end-to-end, where
reliability, accuracy, and latency really matter. Unmatched data
advantage, control over the full-stack : Meter owns the network
from physical cables to packet-level telemetry to logs. No vendor
or lab has this kind of data or control. Thousands of H100s at your
disposal : We’ve secured compute to match our ambition. End-to-end
ownership : You'll ship models into production networks,
collaborate with firmware and application teams sitting next to
you, and rapidly iterate in the wild. Backed by the best :
Investors include Sequoia, Sam Altman, Microsoft, and more. We’re
past product-market fit and entering scale. What you might work on
Train end-to-end models, applied to fault prediction, network state
modeling, and autonomous repair. Build multi-modal over structured
networking data, performing function-calling to make all decisions
on a network . Evaluate model performance over real-world hardware
and virtualized environments. You’ll thrive here if you Have built,
trained, and scaled neural networks from the ground up. Think in
systems, not just benchmarks. Are excited to model the physical
world and collaborate across the hardware and software stack. Want
to build the technical DNA of a new applied research org from the
ground up.
Keywords: Meter, Cupertino , Model Engineer - Member of Technical Staff, Engineering , San Francisco, California
