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, 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.
• 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 bottleneck 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-the-art 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 (e.g. distributed clusters, multicore SMP, and GPU).
• Leverage build and compile tooling.
• Develop unit and regression tests.
• Submit candidate code changes to internal code review system.
• Regular review code submissions of other engineers.
• Communicate progress broadly via internal messaging systems.

Minimum Qualifications

• 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:
• Deep learning systems
• Methods, mathematics and algorithms needed to do research and applications in machine learning
• Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
• Analytic algorithms (e.g. classification, clustering, ranking, prediction)
• Developing and debugging in C, C++, Java, or Python
• Interactive analysis (Jupyter and R) and visualization techniques for data analysis
• Distributed file systems, NoSQL databases, and object storage systems including: HDFS, CephFS, HBASE, MongoDB, Cassandra, DynamoDB, S3, and Swift
• 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
• Solution design (including architecture, framework APIs, cloud computing), and solution optimization and performance measurement on real-world tasks
• Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
• 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
• Designing, implementing, and debugging real distributed systems
• Compilers, networks, operating systems, and computer architecture.

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