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Network Engineering, AI Data

Meter is on a mission to revolutionize internet infrastructure, making connectivity accessible for businesses of all sizes. We are seeking a data scientist with networking expertise to enhance our AI-driven products.

Skills

  • Networking experience
  • Data analysis skills
  • Python programming
  • AI model evaluation
  • User research

Responsibilities

  • Leverage networking and IT experience to think through nuanced use cases of our product suite.
  • Write analysis scripts correlating training data to model performance.
  • Create pipelines for curating and editing training and evaluation data.
  • Conduct user interviews to understand user behavior.
  • Learn Meter’s dashboard and technical architecture.

Education

  • Bachelor's degree in Data Science, Computer Science, or related field

Benefits

  • Medical, dental & vision insurance coverage
  • 401k options
  • Flexible time off
  • Commuter reimbursement
  • In-house chef and onsite meals
To read the complete job description, please click on the ‘Apply’ button

Average salary estimate

$165000 / YEARLY (est.)
min
max
$145000K
$185000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Network Engineering, AI Data, Meter

Join Meter as a Network Engineer specializing in AI Data in our vibrant San Francisco office, where we are on a mission to revolutionize internet infrastructure. Our goal is to make exceptional computer networking and internet accessibility a breeze for businesses of all sizes. You'll be at the heart of building and enhancing our vertically integrated solutions that combine hardware, software, and operational excellence. As part of your day-to-day activities, you will collaborate closely with our AI research team to analyze training data and craft evaluation scenarios tailored to our users' needs. Your insights as a network engineer will directly shape our AI models, ensuring they think like the professionals who use them. By conducting user interviews and creating data pipelines, you'll help us refine our models and enhance the performance and security layers of our products. Plus, our compensation reflects our commitment to investing in you, with a competitive salary range of $145,000 to $185,000 alongside equity options. If you're passionate about redefining the future of internet connectivity, we want you on our team at Meter!

Frequently Asked Questions (FAQs) for Network Engineering, AI Data Role at Meter
What are the primary responsibilities of a Network Engineer specializing in AI Data at Meter?

As a Network Engineer specializing in AI Data at Meter, you will engage in a variety of tasks, including analyzing training data, writing evaluation examples based on customer experiences, and interacting with network engineers who utilize our products. Your role will also involve creating pipelines for training data and conducting user interviews to understand and simulate user behavior, which contribute to the effectiveness of Meter’s AI models.

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What qualifications are required for the Network Engineering, AI Data position at Meter?

Candidates for the Network Engineering, AI Data role at Meter should possess a strong background in networking and IT. Familiarity with AI concepts and experience in data curation are highly advantageous. The ideal candidate will be able to think like an end-user and leverage their networking expertise to enhance our AI models, translating their insights into actionable data.

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How does Meter support career growth for Network Engineers in AI Data?

At Meter, we prioritize the professional development of our employees, offering ample opportunities for learning and growth. In the Network Engineering, AI Data role, you will collaborate with experienced professionals and be involved in innovative projects that shape the future of internet infrastructure. Additionally, our competitive compensation package reflects our commitment to fostering your career progression.

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What is the company culture like at Meter for Network Engineers?

Meter embraces a culture of collaboration, innovation, and continuous improvement. As a Network Engineer in AI Data, you will be part of a talented team that values input and encourages creative problem-solving. Our environment is supportive, and we provide the tools and resources necessary for you to thrive while making impactful contributions to our mission.

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What benefits does Meter offer to Network Engineers specializing in AI Data?

Meter offers a comprehensive benefits package that includes medical, dental, and vision insurance, annual memberships to wellness programs, a 401k with traditional and Roth options, flexible time off, and commuter reimbursement. Additionally, you’ll enjoy in-house meal options in our San Francisco office, further enhancing your work-life balance.

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Common Interview Questions for Network Engineering, AI Data
Can you explain your experience with networking and how it relates to AI data?

In your response, focus on detailing specific projects where you blended networking infrastructure with data analytics or AI initiatives. Highlight any models you have worked on or how your networking expertise enabled better data curation.

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How would you approach creating evaluation data for Meter's AI products?

A good answer would involve outlining your process for gathering user insights, defining relevant benchmarks, and developing scenarios that accurately represent user behavior, ensuring the data aligns closely with the needs of network engineers.

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What strategies do you use for collaborating with AI research teams?

Emphasize your communication skills and methodologies that facilitate effective teamwork, like regular check-ins, sharing insights, and engaging in joint problem-solving activities to enhance model performance.

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Describe a challenging networking issue you encountered and how you resolved it.

Mention a specific problem, your analytical approach to diagnosing it, and the steps you took to implement a solution. Focus on how this experience has shaped your problem-solving skills as it relates to AI data.

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What tools or scripts have you used for analyzing training data?

List specific tools or programming languages you are proficient in, such as Python, R, or MATLAB, and provide examples of how you've utilized them in previous roles to analyze or visualize data effectiveness.

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How do you ensure the quality of data used in AI model training?

Discuss your methods for data validation, including the use of benchmarks, comparisons, and iterative feedback from AI outcomes, to maintain high-quality data that drives model accuracy.

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What steps would you take to understand user behavior for AI model evaluation?

Outline your approach, including conducting user interviews, observing user interactions, and creating user personas. Discuss the importance of empathy in understanding the needs and challenges faced by users.

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What role do you think feedback plays in improving AI models?

In your answer, emphasize the critical nature of feedback loops in refining AI models and how iterative feedback can help hone accuracy and relevance, thereby aligning models more closely with user expectations.

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Can you describe a time you successfully translated user needs into actionable data insights?

Provide a specific example where you extracted key user requirements, translated them into data-driven decisions, and how this positively impacted the outcome or product usability.

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What attracts you to the Network Engineering, AI Data role at Meter?

Express genuine interest in Meter's mission and how your professional goals align with their vision of transforming internet infrastructure into a utility. Mention specific aspects of the role that excite you, such as innovation and collaboration.

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Meter provides Networking as a Service. Meter takes care of setup, configuration and maintenance of your network.

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FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$145,000/yr - $185,000/yr
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
April 12, 2025

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