Every day we strive to provide the best possible experience to our users that are now numbered in billions, and to make that possible, we have deployed an ultra-high capacity network that spans the globe. We are looking for a Network Quantitative Engineer to join our network infrastructure team to support the expansion of our global network. 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.
Network Quantitative Engineer Responsibilities:
Work with large, complex data sets around the Meta data infrastructure and solve difficult ad-hoc analysis problems.
Design, develop and deploy automated data pipelines to support prototyping and proof-of-concept efforts across the team.
Design, build, test, and deploy ML and simulation models, understanding the key outputs and providing statistical analysis of results.
Build data insights and visualizations for demand, capacity and performance which will enable decision making to internal partners.
Drive end users on ad hoc data usage and be a subject matter expert for analytical solution development across the team.
Leverage the Meta software and infrastructure to develop efficient models and analytics.
Build cross-functional relationships with Data Scientists, Network Planners, Software Engineers and Network Engineers to understand their data needs.
Minimum Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
10+ total years of experience in a highly quantitative field.
4+ years of experience analyzing and interpreting data, scoping problems, drawing conclusions, defining recommended actions, and reporting results across various stakeholders.
Experience leading large-scale projects in the area of machine learning, demand forecasting, network analysis, performance metrics or operations research for demand-based networks and server fleets.
4+ years of experience in one of the following languages: Python, R.
4+ years of hands-on experience with large datasets, building scalable analytics and/or data pipelines.
Experience with statistical data analysis, queueing theory, non-stationary process analysis including knowledge in SQL, R and/or Tableau.
Partnership experiences with other engineering teams and service teams.
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 analysis and operations.
Prior experience working with time-series data and capacity planning.
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@fb.com.
