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Job Descrption

Meta's global network comprised of cutting-edge platforms, is looking for a 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, supervised models, unsupervised models, time series models
- Systems: building data foundation and analytical frameworks
- Infrastructure: understanding networking and applying the appropriate model for each problem domainQuantitative Engineer Responsibilities

• Build, test, and deploy machine learning models, understanding the key drivers and providing statistical analysis of results.
• Work with large, complex data sets around the Meta data infrastructure and solve difficult analysis problems.
• Develop, and deploy automated data 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.
• Leverage the Meta software and data infrastructure to develop efficient analytics.
• Support end users on ad hoc data usage and be a subject matter expert for solution development across the team.
• 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.
• 2+ years of experience in a highly quantitative field.
• Experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across various stakeholders.
• Experience in machine learning, demand forecasting, network analysis, performance metrics and/or operations research.
• Experience with common machine learning languages or platforms, e.g. python or R.
• Hands-on experience with large datasets and data manipulation platforms.
• Knowledge of statistical data analysis, supervised learning, unsupervised learning, queueing theory, non-stationary process analysis.

Preferred Qualifications

• Graduate work experience (masters or PhD in a highly quantitative field).
• Been involved in building an end-to-end data driven product, specifically as it pertains to network operations.
• Prior experience working with time-series data and capacity planning.

LocationsAbout Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com. $143,000/year to $208,000/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.

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