Meta Careers Opportunities for Graduate Entry Level role

Overview

Meta Entry Level Careers Opportunities

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, WhatsApp, and Novi further empowered billions around the world.

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Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

Meta Entry Level Careers Opportunities

Data Scientist, Analytics

Job Responsibilities:

Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products
Partner with Product and Engineering teams to solve problems and identify trends and opportunities
Inform, influence, support, and execute our product decisions and product launches
The Data Scientist Analytics role has work across the following four areas:
Product Operations: Forecasting and setting product team goals, designing and evaluating experiments, monitoring key product metrics, understanding root causes of changes in metrics, building and analyzing dashboards and reports, building key data sets to empower operational and exploratory analysis, and evaluating and defining metrics
Exploratory Analysis: proposing what to build in the next roadmap, understanding ecosystems, user behaviors, and long-term trends, identifying new levers to help move key metric, and building models of user behaviors for analysis or to power production systems
Product Leadership: influencing product teams through presentation of data-based recommendations, communicating state of business, experiment results, etc. to product teams and spreading best practices to analytics and product teams
Data Infrastructure: working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica, and automating analyses and authoring pipelines via SQL and Python based ETL framework

Salary: 208,070.99 to $224,000.00 per year + bonus + equity + benefits. Individual pay is determined by skills, qualifications, experience, and location.

Qualifications:

Master’s degree in Statistics, Mathematics, Analytics, or a related field and completion of a graduate-level course, research project, or internship. Completion of a graduate-level course, research project, or internship in each of the following:
Machine learning techniques
Relational database (SQL or PL*SQL)
Developing in Python
Statistical analysis using R and MATLAB
Large scale data processing infrastructures using distributed systems (Hadoop, Hive, MapReduce, or MPI)
Quantitative analysis techniques: clustering, regression, pattern recognition

For more details to apply, Click here!

Production Engineer

Production Engineer Responsibilities
Understand our backbone and data center networks along with our physical infrastructure to help automate new physical designs
Design, build, manage and maintain tooling that tracks asset and enables us to deploy our physical network infrastructure
Develop automated methods to mitigate and remediate network events
Analyze data to diagnose and identify issues in our fiber infrastructure
Be an active participant in deep technical discussions
Develop and maintain consistency within the network infrastructure
Manage flow of information & requirements between network teams, tooling teams and infrastructure teams

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.
Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
4+ years of experience building software for network infrastructure
4+ years of experience with computer networks & developing automation and tools for network operations
4+ years of experience with UNIX, TCP/IP, network fundamentals, or similar
4+ years of experience coding in at least one language (Python/Golang/Rust/C++ are all in use)
Experience learning new concepts around network design and management

Preferred :

Experience with Network Topology & Network Design
Experience with Physical Infrastructure Network Design
Experience with developing distributed systems and operating them at scale.
MS or Graduate work experience in Computer Science, Computer Engineering, or a related
technical discipline.

For more details to apply, Click here!

Research Scientist

Job Responsibilities:

Perform research and develop solutions to computer software and computer hardware problems
Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta’s platforms
Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure
Utilize technical research background, train new ranking models, and run experiments
Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure
Use machine learning, statistics, or other data techniques to build algorithms
Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps
Analyze and resolve computer challenges from a system engineering standpoint
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
Telecommuting is permitted anywhere in the U.S.

Salary: $155,857.93 to $194,000.00 per year + bonus + equity + benefits.

Qualifications:

Master’s degree in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field.
Requires completion of one graduate-level course, one research project, or one internship involving each of the following skills:
Algorithms, data structures, or systems software
Solving analytical problems using quantitative approaches
Communicating complex research in a clear, precise, and actionable manner
Java, C++, Perl, PHP, or Python

For more details to apply, Click here!

Software Engineer

Job Responsibilities:

Help build the next generation of systems behind Meta’s products, create web and/or mobile applications that reach over two billion people, and build high volume servers to support content
‘Harness passion for technology and graduate-level knowledge, and help build highly scalable performant solutions
Develop graduate-level knowledge of algorithms and core computer science concepts and ability to apply that knowledge to real world systems with support and guidance from direct supervisor
With solutions provided by a supervisor utilize ability to apply them to production problems and contribute to architectural decisions
Employ specialty knowledge across the following areas: data processing, programming languages, databases, networking, and operating systems
Utilize knowledge of data base management system software, development environment software, object oriented development software, program testing software, operating system software, and various programming languages
Utilize knowledge of computer hardware and software, including applications and programming, and of systems architecture and components, including networking and storage
Telecommuting is permitted from anywhere in the US

Salary: $198,693.39 to $235,000.00 per year + bonus + equity + benefits.

Qualifications:

Master’s degree in Computer Science, Engineering, Applied Sciences, Mathematics, Physics, or related field and 24 months of experience in the job offered or in a related occupation.
Experience must include 24 months involving the following:
C, C++, C#, or Java
Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction