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Meta Platforms, Inc., doing business as Meta, and formerly named Facebook, Inc., and The Facebook, Inc., is an American multinational technology conglomerate based in Menlo Park, California. The company owns and operates Facebook, Instagram, Threads, and WhatsApp, among other products and services.
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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.
Entry Level Careers Opportunities for Graduates
Software Engineer (University Graduate) – Reality Labs – Switzerland
Job Description:
Develop a strong understanding of relevant product area, codebase, and/or systems
Demonstrate proficiency in data analysis, programming and software engineering
Produce high quality code with good test coverage, using modern abstractions and frameworks
Work independently, use available resources to get unblocked, and complete tasks on-schedule by exercising strong judgement and problem solving skills
Actively seek and give feedback in alignment with Meta’s Performance Philosophy Preferred qualifications
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.
Preferred:
Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications
Having a prior exposure to Android or an Operating System is a plus.
For more details to apply, Click here!
Quantitative UX Researcher, University Graduate – USA
This job description represents different UX Research opportunities for full-time new graduate roles across Meta’s family of apps and services.
Job Description:
Design and execute end-to-end custom primary research using a wide variety of methods
Work closely with product teams, as well as other researchers, to identify important research questions
Act as a thought leader in research, while advocating for people who use our products
Generate insights that shape how product teams think about medium and long-term product strategy
Communicate results and illustrate suggestions in compelling and creative ways
Work cross-functionally with design, product management, data science, content strategy, engineering, and marketing
Qualifications:
Currently has or in the process of obtaining MA/MS in a human behavior-related field, such as Human-Computer Interaction, Psychology, Sociology, Communication, Anthropology, Information Science, Computer Science, or Political Science
Knowledge of research methods in at least one subset of methods (e.g., survey design and quantitative data analysis, ethnography) – qualitative and/or quantitative research
Experience conveying research findings and implications to audiences
Analytical, project management, and problem-solving experience
Experience with autonomy and independent decision making to weigh tradeoffs and balance demands
Experience mentoring other researchers and maintain our team’s standard of work
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred:
Experience with consumer products, consumer insights, or product research
Currently has or in the process of obtaining PhD in a human behavior-related field, such as Human-Computer Interaction, Psychology, Sociology, Communication, Anthropology, Information Science, Computer Science, or Political Science
For more details to apply, Click here!
Network Quantitative Engineer – USA
Job Responsibilities:
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.
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 :
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.
For more details to apply, Click here!
Data Engineer (Analytics) – United States
Job Responsibilities:
Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making.
Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.
Define and manage SLA for all data sets in allocated areas of ownership.
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
Influence product and cross-functional teams to identify data opportunities to drive impact.
Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
Qualifications:
Master’s degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field and requires completion of a graduate-level course, research project, or internship in each of the following:
1. Features, design, and use-case scenarios across a big data ecosystem
2. Schema design and dimensional data modeling
3. Writing SQL statements
4. Analyzing data to identify deliverables, gaps, and inconsistencies
5. MapReduce or MPP system.