Network Quantitative Engineer
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
Qualifications
Bachelor's degree in 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 (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
Compensation: $154,000/year to $217,000/year + bonus + equity + benefits