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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.
Job Responsibility:
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 ,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)
Requirements:
Master's degree (or foreign equivalent) in Computer Science, Engineering, Mathematics, or a related field and 24 months of experience in job offered or in a related occupation
Requires 24 months in the following: Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
Python, PHP, or Haskell
Relational databases and SQL
Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
Conducting design and code reviews
Object-oriented software development
Building maintainable and testable codes bases including API design and unit testing techniques
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