"Alerted.org

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, e.g. 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 bottleneck 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 (e.g. distributed clusters, multicore SMP, and GPU).

8. Leverage build and compile tooling.

9. Develop unit and regression tests.

10. Submit candidate code changes to internal code review system.

11. Regular review code submissions of other engineers.

12. Communicate progress broadly via internal messaging systems.

Minimum Qualifications:

Minimum Qualifications:

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

14. 1. -Deep learning systems

15. 2.- Methods, mathematics and algorithms needed to do research and applications in machine learning

16. 3.- Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems

17. 4.- Analytic algorithms (e.g. classification, clustering, ranking, prediction)

18. 5.- Developing and debugging in C, C++, Java, or Python

19. 6.- Interactive analysis (Jupyter and R) and visualization techniques for data analysis

20. 7.- Distributed file systems, NoSQL databases, and object storage systems including: HDFS, CephFS, HBASE, MongoDB, Cassandra, DynamoDB, S3, and Swift

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

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

23. 10. -Solution design (including architecture, framework APIs, cloud computing), and solution optimization and performance measurement on real-world tasks

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

25. 12.- 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. 13.- Designing, implementing, and debugging real distributed systems

27. 14.- Compilers, networks, operating systems, and computer architecture.

Public Compensation:

$184,187/year to $200,200/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 [email protected].