MINIMUM QUALIFICATIONS

• Requires a Doctorate degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Statistics, Applied Sciences, or a related field
• Requires completion of a university-level course, research project, internship, or thesis in the following:
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• Algorithms, data structures, or systems software

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• Solving analytical problems using quantitative approaches

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• Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources

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• Communicating complex research in a clear, precise, and actionable manner

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• Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision

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• Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines

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• Devising better data-driven models of human behavior

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• Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU

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• Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models

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• Java, C++, Perl, PHP, or Python
  
  For those who live in or expect to work from California if hired for this position.

• Perform research and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta’s platforms.
• Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
• Utilize technical research background, train new ranking models, and run experiments.
• Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
• Use machine learning, statistics, or other data techniques to build new recommendation algorithms.
• Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
• Analyze and resolve computer challenges from a system engineering standpoint.
• Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
• Demonstrate good judgment in selecting methods and techniques for obtaining solutions.