**Summary:** 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. **Required Skills:** Software Engineer, Machine Learning Responsibilities: 1. Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. 2. Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, such as payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. 3. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models. 4. Suggest, collect, analyze and synthesize requirements and bottlenecks in technology, systems, and tools. 5. Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the art deep learning techniques. 6. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team. 7. Adapt standard machine learning methods to best exploit modern parallel environments (such as distributed clusters, multicore SMP, and GPU). 8. Use data driven approaches to identify solutions to problems, prototype machine learning based solutions, perform rigorous analysis and evaluations to study the impact for efficient deployment of models and services. 9. Drive project planning, execution and collaboration with other engineers and partner teams to improve product and system metrics. **Minimum Qualifications:** Minimum Qualifications: 10. Requires a Master's degree (or foreign equivalent) in Computer Science, Engineering, Applied Sciences, Mathematics, Physics or a related field. 11. Requires completion of a university-level course, research project, internship or thesis in the following: 12. 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow 13. 2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems 14. 3. Translating insights into business recommendations 15. 4. Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark 16. 5. Developing and debugging in C, C++, and Java 17. 6. Scripting languages: Perl, Python, PHP, or shell scripts 18. 7. C, C++, C#, or Java 19. 8. Python, PHP, or Haskell 20. 9. Relational databases and SQL 21. 10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce) 22. 11. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting 23. 12. Build highly-scalable performant solutions 24. 13. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction 25. 14. 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 26. 15. Distributed systems **Public Compensation:** $214,365/year to $240,240/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.