Network Quantitative Engineer
Meta Menlo Park, California, United States · $154K–$217K/yr
Software Development · 10,001+ employees
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About the role
The role involves performing quantitative analysis and building data pipelines to support network infrastructure planning and capacity management. You will collaborate with cross-functional teams to solve complex data problems and provide actionable insights for network optimization.
What they look for
Requirements
A bachelor's degree in Computer Science, Computer Engineering, or a related technical field is required. Preferred candidates demonstrate experience with AI tool integration, ethical AI practices, and ongoing development of AI-related skills.
Benefits
Full description
Meta's global network, composed of cutting-edge platforms, is looking for a Network Quantitative Engineer to join the network infrastructure team. This team is responsible for designing, implementing and supporting one of the world’s largest and complex networks. As a Network Quantitative Engineer, you will have a unique opportunity to influence network planning decisions, shaping the future network to accommodate hyper-exponential growth as well as internal product requirements. Specifically, the team works in the intersection of: Quantitative analysis (statistical analysis, data exploration, experimentation, A/B testing), Systems (building data foundation and analytical frameworks), and Infrastructure (understanding networking and applying the appropriate model for each problem domain).
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
