
Network Quantitative Engineer
Required skills
- network infrastructure
- quantitative analysis
- data exploration
- experimentation
- A/B testing
- data pipelines
- analytical frameworks
- network planning
- capacity
- performance
Nice to have
- AI tools
- workflow optimization
- responsible AI
- ethical AI
- prompt engineering
- agent orchestration
Role summary
Meta is seeking a Network Quantitative Engineer to join its network infrastructure team. This role involves designing, implementing, and supporting a large-scale network, influencing planning decisions to accommodate growth and product needs. The position sits at the intersection of quantitative analysis (statistical analysis, data exploration, experimentation, A/B testing), systems (building data foundations and analytical frameworks), and infrastructure (understanding networking). Responsibilities include working with complex data sets, developing automated data pipelines, producing visualizations for capacity and performance, and supporting internal partners. A Bachelor's degree in a relevant technical field or equivalent experience is required. Preferred qualifications include experience with AI tools for workflow optimization and ethical AI practices.
Responsibilities
- Work with large, complex data sets around the Meta data infrastructure and solve difficult analysis problems
- Develop, and deploy automated data and analysis pipelines to support prototyping and proof-of-concept efforts across the team
- Produce data visualizations and reporting for network demand, capacity, and performance, which will enable decision-making to internal partners
- Support end users on ad hoc data usage and in-depth experience for solution development across the team
- Leverage the Meta software and data infrastructure to develop efficient analytics
- Build cross-functional relationships with Network Planners, Software Engineers, and Network Engineers to understand their business needs
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Preferred Qualifications
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
$154,000/year to $217,000/year + bonus + equity + benefits
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