Network Quantitative Engineer

About the Role

Meta is seeking a Network Quantitative Engineer to join the network infrastructure team, responsible for designing, implementing, and supporting one of the world’s largest and complex networks. This role offers an opportunity to influence network planning decisions and shape the future network to accommodate hyper-exponential growth and internal product requirements. The team operates at the intersection of:

• Quantitative analysis (statistical analysis, data exploration, experimentation, A/B testing)
• Systems (building data foundation and analytical frameworks)
• Infrastructure (understanding networking and applying appropriate models)

Key Responsibilities

• Work with large, complex data sets within Meta's data infrastructure to solve difficult analysis problems.
• Develop and deploy automated data and analysis pipelines to support prototyping and proof-of-concept efforts.
• Produce data visualizations and reporting on network demand, capacity, and performance to enable internal partner decision-making.
• Support end users with ad hoc data usage and in-depth experience for solution development.
• Leverage Meta's 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.

Requirements & Tech Stack

• Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (efficiency gains, quality improvements).
• Experience adhering to and implementing responsible, ethical AI practices (risk assessment, bias mitigation, quality and accuracy reviews).
• Demonstrated ongoing AI skill development (prompt/context engineering, agent orchestration) and staying current with emerging AI technologies.