Job Information
Meta Quantitative Engineer in Menlo Park, California
Summary:
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 domain
Required Skills:
Quantitative 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:
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:
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.
Public Compensation:
$143,000/year to $208,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
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.