Join Meter as a Model Engineer to shape the future of AI in infrastructure with a founding engineering team.
Posted by employer 6 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 17 hours ago
Skills & Technologies
AI in the day-to-day
You'll be building models that power fundamental infrastructure end-to-end.
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Joblaze summary
In this role, the Model Engineer will focus on developing and training models that enhance the performance and reliability of Meter's AI-driven infrastructure systems. Key skills include expertise in building and scaling neural networks, as well as a strong understanding of both hardware and software interactions. This position is ideal for experienced engineers who thrive in dynamic environments and are eager to influence the direction of a pioneering team. Meter's unique data advantage and commitment to end-to-end ownership provide a distinctive opportunity for impactful work.
Joblaze insights
- Listed 10 days ago on Joblaze — tracked directly from Meter's career page.
- Meter has 48 other open roles including Fleet Partnerships, Fleet Partnerships, Product Lead, Data Center.
- 5186 active AI/ML roles on Joblaze right now.
- 8 active Neural Networks roles on Joblaze right now.
- Typical AI/ML salary we track runs $140,000–$230,000 (median $180,000, across 2253 roles). See AI/ML salary trends
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Neural Networks, autonomous repair, fault prediction, network state modeling.
- What seniority level is this role?
- Meter targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Model Engineer - Member of Technical Staff role at Meter.
From the original posting
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.
Compensation
The estimated base salary for this role is between $190,000 - $295,000
Additionally, this role is eligible to participate in Meter's equity plan.