Summary:

　　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, WhatsApp, and Novi 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. Instructions on how to apply, click “Apply to Job” online on this web page.

　　Required Skills:

　　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 diverse scope where analysis of data requires evaluation of identifiable factors.

　　Demonstrate good judgment in selecting methods and techniques for obtaining solutions.

　　Telecommute from anywhere in the U.S. permitted

　　Minimum Qualifications:

　　Minimum Qualifications:

　　Requires a Doctorate degree in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field. Requires completion of a university-level course, research project, internship, or thesis in the following:

　　Algorithms, data structures, or systems software

　　Solving analytical problems using quantitative approaches

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

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

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

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

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

　　Java, C++, Perl, PHP, or Python

　　Public Compensation:

　　$187,585/year to $235,000/year + bonus + equity + benefits

　　Industry: Internet

　　Equal Opportunity:

　　Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

　　Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].