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Data Science, AI Data

MeterSan Francisco, California, United StatesOnsite

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. 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. There will be a lot of scripting to create analyses and data pipelines informed by interactions with end-users of our AI products.The right candidate will be able to leverage their expertise in data science and programming languages such as Python, JavaScript, or an equivalent to construct data pipelines.

You will have an impact by


  • 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 provide benchmarking 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)

Life at Meter

Meter is a developing next-generation volumetric imaging technology. We are building a machine that can see inside of anything and cloud-based software for processing the complex, volumetric data that the machine produces. Our technology will give engineers, designers, and eventually medical practitioners more confidence in their processes and lower the barrier to high quality imaging and inspection tools. Our team of engineers includes world-class researchers, industrial designers, PhDs, founders of successful startups, and zero egos. We are backed by some of the top venture capital funds and angel investors in Silicon Valley and beyond. The company is headquartered in Cambridge, MA and has an office in San Francisco, CA.
Thrive Here & What We Value1. Collaborative and supportive team environment2. Emphasis on innovation and creativity3. Focus on customer satisfaction and experience4. Commitment to democratizing access to state-of-the-art connectivity5. Opportunities for career growth and professional development6. Ambitious Growth Goals this Year7. Inhouse Chef and Onsite Meals8. Flexible Work Schedule9. Making a Positive Impact10. Continuous Learning
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