Software Engineer, Machine Learning

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, Machine Learning Responsibilities

• Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
• 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.
• Working on problems of moderate scope, develop highly
  scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
• Suggest, collect, analyze and synthesize requirements and bottlenecks in
  technology, systems, and tools.
• Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-theart deep learning techniques.
• Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
• Adapt standard machine learning methods to best
  exploit modern parallel environments (such as distributed clusters, multicore SMP, and GPU).
• 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.
• Drive project planning, execution and collaboration with
  other engineers and partner teams to improve product and system metrics.

Minimum Qualifications

• Requires a Master’s degree in Computer Science, Engineering, Applied Sciences, Mathematics, Physics or a 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. Translating insights into business recommendations
• 4. Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark
• 5. Developing and debugging in C, C++, and Java
• 6. Scripting languages: Perl, Python, PHP, or shell scripts
• 7. C, C++, C#, or Java
• 8. Python, PHP, or Haskell
• 9. Relational databases and SQL
• 10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
• 11. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
• 12. Build highly-scalable performant solutions
• 13. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
• 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
• 15. Distributed systems

LocationsAbout Meta 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. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com. $214,365/year to $240,240/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed