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, 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. To apply, click "Apply to Job" online on this web page.

Software Engineer, Product Responsibilities

• Develop, design, create, modify, and/or test software applications or systems for various products or software services.


• 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.


• May be assigned to specific group focused on product or infrastructure.


• Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.


• Exercise judgment within defined procedures and practices to determine appropriate action.


• Master internal development standards from developing to releasing code in order to take on tasks and projects with increasing levels of complexity.


• Telecommute from anywhere in the U.S. permitted.

Minimum Qualifications

• Requires a Master's degree in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field. Requires completion of a university-level course, research project, internship, or thesis in the following:


• 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow


• 2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems


• 3. Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark


• 4. Developing and debugging in C, C++, and Java


• 5. Scripting languages: Perl, Python, PHP, or shell scripts


• 6. C, C++, C#, or Java


• 7. Python, PHP, or Haskell


• 8. Relational databases and SQL


• 9. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)


• 10. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting


• 11. Build highly-scalable performant solutions


• 12. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction


• 13. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems


• 14. Distributed systems.

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