Network Quantitative Engineer

Network Quantitative Engineer at Meta

Meta’s global network powers products for billions of people and is continually evolving to support the demands of next-generation applications. As part of the Network Infrastructure team, you’ll help design and operate one of the world’s largest, most complex networks—scaling infrastructure to meet the needs of emerging technologies and rapidly growing workloads.

As a Network Quantitative Engineer, you will play a pivotal role in shaping the future of Meta’s network to accommodate significant growth across broad applications. You’ll build production-grade forecasting and optimization models, develop robust data foundations for decision-making, and collaborate with engineers and planners to ensure our infrastructure delivers the scale, performance, and reliability required for Meta's products and services.

This is a unique opportunity to work at the intersection of quantitative analysis, systems engineering, and network infrastructure—where your contributions will help Meta deliver products and services to billions of users worldwide.

Network Quantitative Engineer Responsibilities

• Build and productionize models for network forecasting, capacity planning, and performance risk, including uncertainty and sensitivity analysis
• Design and maintain scalable datasets, feature pipelines, and monitoring systems to support modeling and decision workflows
• Develop and apply algorithms, analytical tooling, and approaches—including what-if analysis, optimization, anomaly/change detection, causal inference, prescriptive analytics, and simulation etc.—to support infrastructure planning and drive improvements across Meta’s global network
• Communicate results and recommendations through clear narratives, dashboards, and decision support tools
• Partner cross-functionally to translate network infrastructure needs into measurable metrics, model requirements, and shipped solutions

Minimum Qualifications

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
• 2+ years of experience applying statistical, machine learning, or optimization methods to real-world problems
• Programming skills in Python (or similar) and SQL, experience with large-scale data
• Experience delivering production-quality analytics/models including testing, code review, and scheduled pipelines or services

Preferred Qualifications

• Master’s or PhD in a quantitative field
• Experience with time-series forecasting for large-scale systems and uncertainty quantification
• Familiarity with networking fundamentals, or equivalent experience in large-scale infrastructure domains
• Proven track record in algorithm design and implementation for large-scale data, optimization, anomaly detection, or network infrastructure challenges

About 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 proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

The salary for this position ranges from $122,000/year to $181,000/year + bonus + equity + benefits. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Key skills/competency

• Network Infrastructure
• Quantitative Analysis
• Forecasting
• Optimization
• Machine Learning
• Data Modeling
• Python
• SQL
• Capacity Planning
• Time-Series Analysis