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Form of workMeta's global network comprised 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.
- Work with large, complex data sets around the Meta data infrastructure and solve difficult ad-hoc analysis problems.
- Ability to develop, and deploy automated data pipelines to support prototyping and POC efforts across the team.
- Produce data visualizations for demand, capacity and performance which will enable decision making to internal partners.
- Build, test, and deploy models/simulations, understanding the key outputs and provide statistical analysis of results.
- Support end users on ad hoc data usage and be a subject matter expert for solution development across the team.
- Leverage the Meta software and infrastructure to develop efficient 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.
- Experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across various stakeholders.
- Experience in demand forecasting, Monte Carlo simulations, network analysis, performance metrics and operations research for demand-based networks and server fleets.
- Experience scripting with one of the following languages: Python, PHP, Perl, R.
- Hands-on experience with large datasets.
- Knowledge of statistical data analysis, queueing theory, non-stationary process analysis including knowledge in SQL, R and/or Tableau.
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.
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.
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.
