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

• Perform research and develop solutions to computer software and computer hardware problems.


• Research, design, 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 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 moderate scope where analysis of situations or data requires a review of a variety of factors.


• Exercise judgment within defined procedures and practices to determine appropriate action.

Minimum Qualifications

• Requires a Master's degree in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences. Requires completion of a graduate-level (or higher) course, research project, or internship involving each of the following:


• 1. Algorithms, data structures, or systems software


• 2. Solving analytical problems using quantitative approaches


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


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


• 5. Java, C++, Perl, PHP, or Python.