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Meter.com

Network Engineering, AI Data

Job Posted 13 Days Ago Posted 13 Days Ago
Be an Early Applicant
San Francisco, CA
145K-185K
Mid level
San Francisco, CA
145K-185K
Mid level
As a Data Scientist at Meter, you'll evaluate and build AI models informed by your networking expertise, creating training data and performing analyses to enhance product performance.
The summary above was generated by AI

Meter's mission and long term ambition

Meter builds better internet infrastructure. We make it exceptionally easy for any business to have great computer networking, internet, and Wi-Fi. Businesses of all sizes and industries increasingly rely on internet infrastructure for daily operations, yet getting connected today is incredibly difficult. To solve this problem, Meter builds and manages a vertically integrated solution across hardware, software, and operations. We believe people who build hardware and software should be the ones responsible for it. Our ambition is to evolve internet infrastructure into a utility.

To turn internet infrastructure into a utility, we need to add intelligence to its performance, availability, and security layers. Our team has built Command, a generative UI product driven by a custom model, with many more model-driven initiatives described at meter.ai.

We have the team, compute, and roadmap to execute on this. But, to create the best models possible, we need to continuously iterate on our model evaluations and training data.

This role is critical to Meter's success

We are hiring a data scientist to assist in building and evaluating models. Your day-to-day responsibilities will be manifold – from working with our AI research team to perform analyses on training data, to writing evaluation examples based on customer use cases and your networking experience. There will be frequent interactions with network engineers who are the end-users of our products.

Most importantly, our products are used by networking teams: to be able to create the best data – both for training and evaluation – you will need to teach and test the models in their ability to think like a network engineer.

The right candidate will be able to leverage their expertise in networking to think like an end-user, and translate that insight to data curation for our AI models.

You will have an impact by

  • Leveraging your networking and IT experience to think through nuanced use cases of our product suite
  • Writing analysis scripts that correlate training data to model performance measured by benchmarks you define
  • Creating pipelines that create, curate, and edit training and evaluation data for Meter’s AI products
  • Conducting user interviews to understand and simulate user behavior, and to create  evaluation data for Meter’s AI products
  • Learning Meter’s dashboard and technical architecture

Learn more about how we operate and some of our work

  • What is Meter?
  • Meter: the internet utility by Packy McCormick
  • How we operate
  • Vertical integration in practice

Compensation

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 pay range for this role is $145,000 - $185,000. 
  • Additionally, this role is eligible to participate in Meter's equity plan.

The salary range represents the low and high end of the salary range for this job in the Bay Area. The actual salary offer will carefully consider a wide range of factors such as your skills, qualifications and experience.

Benefits

  • Medical, dental & vision insurance coverage for you and your dependents
    • Annual memberships to One Medical, Headspace and Rightway
  • 401k (traditional and Roth options available)
  • Flexible time off (FTO)
  • Commuter reimbursement
  • Parental Leave
  • In-house chef and onsite meals (San Francisco Office)

Top Skills

AI
Analysis Scripts
Data Science
Evaluation Data
Model Performance
Networking
User Interviews
HQ

Meter.com San Francisco, California, USA Office

San Francisco, CA, United States

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