Research Scientist

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.Research Scientist Responsibilities

• Research, identify, and analyze data and data patterns.
• Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of company 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 algorithms.
• Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
• Analyze and resolve computer challenges from a system-engineering and business intelligence standpoint.

Minimum Qualifications

• Requires a Master's degree (Or Foreign Degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Computational Sciences, or a related field. Requires completion of a graduate-level course, research project, or internship in following:
• 1. Algorithms, data structures, or systems software
• 2. Solving analytical problems using quantitative approaches
• 3. Gathering, manipulating, or analyzing complex, high-volume and dimensionality data from varying sources
• 4. Communicating complex data research in a clear, precise, and actionable manner
• 5. Researching topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
• 6. Performing research that enables learning the semantics of data such as images, video, text, audio, or other modalities, and also advances the technology of intelligent machines
• 7. Devising better data-driven models of human behavior
• 8. Adapting standard machine learning methods to best enterprise modern parallel environments like distributed clusters, multicore SMP, or GPU
• 9. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
• 10. Java, C++, Perl, PHP, or Python.

For those who live in or expect to work from California if hired for this position, please click here for additional information. About 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.
$187,178/year to $200,200/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
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