Quantitative Engineer
Onsite
Menlo Park, CA, United States
Menlo Park, CA, United States
Posted 10 days ago
Job Details
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 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.
- 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.
- 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.
Learn more about Meta
Help us maintain the quality of jobs posted on PowerToFly. Let us know if this job is closed.
Mission
We're connecting diverse talent to big career moves. Meeting people who boost your career is hard - yet networking is key to growth and economic empowerment. We’re here to support you - within your current workplace or somewhere new. Upskill, join daily virtual events, apply to roles (it’s free!).
Are you hiring? Join our platform for diversifiying your team